---
_id: '54623'
author:
- first_name: Jörg
  full_name: Papenkordt, Jörg
  id: '44648'
  last_name: Papenkordt
citation:
  ama: 'Papenkordt J. Navigating Transparency: The Influence of On-demand Explanations
    on Non-expert User Interaction with AI. In: <i>Artificial Intelligence in HCI</i>.
    Springer Nature Switzerland; 2024. doi:<a href="https://doi.org/10.1007/978-3-031-60606-9_14">10.1007/978-3-031-60606-9_14</a>'
  apa: 'Papenkordt, J. (2024). Navigating Transparency: The Influence of On-demand
    Explanations on Non-expert User Interaction with AI. In <i>Artificial Intelligence
    in HCI</i>. Springer Nature Switzerland. <a href="https://doi.org/10.1007/978-3-031-60606-9_14">https://doi.org/10.1007/978-3-031-60606-9_14</a>'
  bibtex: '@inbook{Papenkordt_2024, place={Cham}, title={Navigating Transparency:
    The Influence of On-demand Explanations on Non-expert User Interaction with AI},
    DOI={<a href="https://doi.org/10.1007/978-3-031-60606-9_14">10.1007/978-3-031-60606-9_14</a>},
    booktitle={Artificial Intelligence in HCI}, publisher={Springer Nature Switzerland},
    author={Papenkordt, Jörg}, year={2024} }'
  chicago: 'Papenkordt, Jörg. “Navigating Transparency: The Influence of On-Demand
    Explanations on Non-Expert User Interaction with AI.” In <i>Artificial Intelligence
    in HCI</i>. Cham: Springer Nature Switzerland, 2024. <a href="https://doi.org/10.1007/978-3-031-60606-9_14">https://doi.org/10.1007/978-3-031-60606-9_14</a>.'
  ieee: 'J. Papenkordt, “Navigating Transparency: The Influence of On-demand Explanations
    on Non-expert User Interaction with AI,” in <i>Artificial Intelligence in HCI</i>,
    Cham: Springer Nature Switzerland, 2024.'
  mla: 'Papenkordt, Jörg. “Navigating Transparency: The Influence of On-Demand Explanations
    on Non-Expert User Interaction with AI.” <i>Artificial Intelligence in HCI</i>,
    Springer Nature Switzerland, 2024, doi:<a href="https://doi.org/10.1007/978-3-031-60606-9_14">10.1007/978-3-031-60606-9_14</a>.'
  short: 'J. Papenkordt, in: Artificial Intelligence in HCI, Springer Nature Switzerland,
    Cham, 2024.'
date_created: 2024-06-05T10:52:08Z
date_updated: 2024-11-20T09:44:59Z
department:
- _id: '178'
- _id: '184'
doi: 10.1007/978-3-031-60606-9_14
language:
- iso: eng
place: Cham
project:
- _id: '810'
  name: arbeitswelt + - KI für die Arbeitswelt des industriellen Mittelstands
publication: Artificial Intelligence in HCI
publication_identifier:
  isbn:
  - '9783031606052'
  - '9783031606069'
  issn:
  - 0302-9743
  - 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: 'Navigating Transparency: The Influence of On-demand Explanations on Non-expert
  User Interaction with AI'
type: book_chapter
user_id: '72497'
year: '2024'
...
---
_id: '57323'
author:
- first_name: Nikolaos
  full_name: Karalis, Nikolaos
  last_name: Karalis
- first_name: Alexander
  full_name: Bigerl, Alexander
  last_name: Bigerl
- first_name: Caglar
  full_name: Demir, Caglar
  last_name: Demir
- first_name: Liss
  full_name: Heidrich, Liss
  last_name: Heidrich
- first_name: Axel-Cyrille
  full_name: Ngonga Ngomo, Axel-Cyrille
  last_name: Ngonga Ngomo
citation:
  ama: 'Karalis N, Bigerl A, Demir C, Heidrich L, Ngonga Ngomo A-C. Evaluating Negation
    with Multi-way Joins Accelerates Class Expression Learning. In: <i>Lecture Notes
    in Computer Science</i>. Springer Nature Switzerland; 2024. doi:<a href="https://doi.org/10.1007/978-3-031-70365-2_12">10.1007/978-3-031-70365-2_12</a>'
  apa: Karalis, N., Bigerl, A., Demir, C., Heidrich, L., &#38; Ngonga Ngomo, A.-C.
    (2024). Evaluating Negation with Multi-way Joins Accelerates Class Expression
    Learning. In <i>Lecture Notes in Computer Science</i>. Springer Nature Switzerland.
    <a href="https://doi.org/10.1007/978-3-031-70365-2_12">https://doi.org/10.1007/978-3-031-70365-2_12</a>
  bibtex: '@inbook{Karalis_Bigerl_Demir_Heidrich_Ngonga Ngomo_2024, place={Cham},
    title={Evaluating Negation with Multi-way Joins Accelerates Class Expression Learning},
    DOI={<a href="https://doi.org/10.1007/978-3-031-70365-2_12">10.1007/978-3-031-70365-2_12</a>},
    booktitle={Lecture Notes in Computer Science}, publisher={Springer Nature Switzerland},
    author={Karalis, Nikolaos and Bigerl, Alexander and Demir, Caglar and Heidrich,
    Liss and Ngonga Ngomo, Axel-Cyrille}, year={2024} }'
  chicago: 'Karalis, Nikolaos, Alexander Bigerl, Caglar Demir, Liss Heidrich, and
    Axel-Cyrille Ngonga Ngomo. “Evaluating Negation with Multi-Way Joins Accelerates
    Class Expression Learning.” In <i>Lecture Notes in Computer Science</i>. Cham:
    Springer Nature Switzerland, 2024. <a href="https://doi.org/10.1007/978-3-031-70365-2_12">https://doi.org/10.1007/978-3-031-70365-2_12</a>.'
  ieee: 'N. Karalis, A. Bigerl, C. Demir, L. Heidrich, and A.-C. Ngonga Ngomo, “Evaluating
    Negation with Multi-way Joins Accelerates Class Expression Learning,” in <i>Lecture
    Notes in Computer Science</i>, Cham: Springer Nature Switzerland, 2024.'
  mla: Karalis, Nikolaos, et al. “Evaluating Negation with Multi-Way Joins Accelerates
    Class Expression Learning.” <i>Lecture Notes in Computer Science</i>, Springer
    Nature Switzerland, 2024, doi:<a href="https://doi.org/10.1007/978-3-031-70365-2_12">10.1007/978-3-031-70365-2_12</a>.
  short: 'N. Karalis, A. Bigerl, C. Demir, L. Heidrich, A.-C. Ngonga Ngomo, in: Lecture
    Notes in Computer Science, Springer Nature Switzerland, Cham, 2024.'
date_created: 2024-11-22T09:45:01Z
date_updated: 2024-11-22T10:31:34Z
department:
- _id: '574'
doi: 10.1007/978-3-031-70365-2_12
language:
- iso: eng
place: Cham
publication: Lecture Notes in Computer Science
publication_identifier:
  isbn:
  - '9783031703645'
  - '9783031703652'
  issn:
  - 0302-9743
  - 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: Evaluating Negation with Multi-way Joins Accelerates Class Expression Learning
type: book_chapter
user_id: '84532'
year: '2024'
...
---
_id: '61210'
abstract:
- lang: eng
  text: Knowledge graphs (KGs) differ significantly over multiple different versions
    of the same data source. They also often contain blank nodes that do not have
    a constant identifier over all versions. Linking such blank nodes from different
    versions is a challenging task. Previous works propose different approaches to
    create signatures for all blank nodes based on named nodes in their neighborhood
    to match blank nodes with similar signatures. However, these works struggle to
    find a good mapping when the difference between the KGs’ versions grows too large.
    In this work, we propose Blink, an embedding-based approach for blank node linking.
    Blink merges two KGs’ versions and embeds the merged graph into a latent vector
    space based on translational embeddings and subsequently matches the closest pairs
    of blank nodes from different graphs. We evaluate our approach using real-world
    datasets against state-of-the-art approaches by computing the blank node matching
    for isomorphic graphs and graphs that contain triple changes (i.e., added or removed
    triples). The results indicate that Blink achieves perfect accuracy for isomorphic
    graphs. For graph versions that contain changes, such as having up to 20% of triples
    removed in one version, Blink still produces a mapping with an Optimal Mapping
    Deviation Ratio of under 1%. These results show that Blink leads to a better linking
    of KGs over different versions and similar graphs adhering to the linked data
    guidelines.
author:
- first_name: Alexander
  full_name: Becker, Alexander
  last_name: Becker
- first_name: Mohamed
  full_name: Sherif, Mohamed
  id: '67234'
  last_name: Sherif
  orcid: https://orcid.org/0000-0002-9927-2203
- first_name: Axel-Cyrille
  full_name: Ngonga Ngomo, Axel-Cyrille
  id: '65716'
  last_name: Ngonga Ngomo
citation:
  ama: 'Becker A, Sherif M, Ngonga Ngomo A-C. Blink: Blank Node Matching Using Embeddings.
    In: <i>Lecture Notes in Computer Science</i>. Springer Nature Switzerland; 2024.
    doi:<a href="https://doi.org/10.1007/978-3-031-77844-5_12">10.1007/978-3-031-77844-5_12</a>'
  apa: 'Becker, A., Sherif, M., &#38; Ngonga Ngomo, A.-C. (2024). Blink: Blank Node
    Matching Using Embeddings. In <i>Lecture Notes in Computer Science</i>. ISWC 2024: :
    The 23ed International Semantic Web Conference, Baltimore, USA. Springer Nature
    Switzerland. <a href="https://doi.org/10.1007/978-3-031-77844-5_12">https://doi.org/10.1007/978-3-031-77844-5_12</a>'
  bibtex: '@inbook{Becker_Sherif_Ngonga Ngomo_2024, place={Cham}, title={Blink: Blank
    Node Matching Using Embeddings}, DOI={<a href="https://doi.org/10.1007/978-3-031-77844-5_12">10.1007/978-3-031-77844-5_12</a>},
    booktitle={Lecture Notes in Computer Science}, publisher={Springer Nature Switzerland},
    author={Becker, Alexander and Sherif, Mohamed and Ngonga Ngomo, Axel-Cyrille},
    year={2024} }'
  chicago: 'Becker, Alexander, Mohamed Sherif, and Axel-Cyrille Ngonga Ngomo. “Blink:
    Blank Node Matching Using Embeddings.” In <i>Lecture Notes in Computer Science</i>.
    Cham: Springer Nature Switzerland, 2024. <a href="https://doi.org/10.1007/978-3-031-77844-5_12">https://doi.org/10.1007/978-3-031-77844-5_12</a>.'
  ieee: 'A. Becker, M. Sherif, and A.-C. Ngonga Ngomo, “Blink: Blank Node Matching
    Using Embeddings,” in <i>Lecture Notes in Computer Science</i>, Cham: Springer
    Nature Switzerland, 2024.'
  mla: 'Becker, Alexander, et al. “Blink: Blank Node Matching Using Embeddings.” <i>Lecture
    Notes in Computer Science</i>, Springer Nature Switzerland, 2024, doi:<a href="https://doi.org/10.1007/978-3-031-77844-5_12">10.1007/978-3-031-77844-5_12</a>.'
  short: 'A. Becker, M. Sherif, A.-C. Ngonga Ngomo, in: Lecture Notes in Computer
    Science, Springer Nature Switzerland, Cham, 2024.'
conference:
  end_date: 2024-11-15
  location: Baltimore, USA
  name: 'ISWC 2024: : The 23ed International Semantic Web Conference'
  start_date: 2024-11-11
date_created: 2025-09-11T10:19:47Z
date_updated: 2025-09-11T10:34:02Z
department:
- _id: '574'
doi: 10.1007/978-3-031-77844-5_12
language:
- iso: eng
main_file_link:
- url: https://papers.dice-research.org/2024/ISWC_BLINK/public.pdf
place: Cham
project:
- _id: '285'
  name: SAIL - Nachhaltiger Lebenszyklus von intelligenten soziotechnischen Systemen
publication: Lecture Notes in Computer Science
publication_identifier:
  isbn:
  - '9783031778438'
  - '9783031778445'
  issn:
  - 0302-9743
  - 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: 'Blink: Blank Node Matching Using Embeddings'
type: book_chapter
user_id: '67234'
year: '2024'
...
---
_id: '62067'
abstract:
- lang: eng
  text: Most FPGA boards in the HPC domain are well-suited for parallel scaling because
    of the direct integration of versatile and high-throughput network ports. However,
    the utilization of their network capabilities is often challenging and error-prone
    because the whole network stack and communication patterns have to be implemented
    and managed on the FPGAs. Also, this approach conceptually involves a trade-off
    between the performance potential of improved communication and the impact of
    resource consumption for communication infrastructure, since the utilized resources
    on the FPGAs could otherwise be used for computations. In this work, we investigate
    this trade-off, firstly, by using synthetic benchmarks to evaluate the different
    configuration options of the communication framework ACCL and their impact on
    communication latency and throughput. Finally, we use our findings to implement
    a shallow water simulation whose scalability heavily depends on low-latency communication.
    With a suitable configuration of ACCL, good scaling behavior can be shown to all
    48 FPGAs installed in the system. Overall, the results show that the availability
    of inter-FPGA communication frameworks as well as the configurability of framework and
    network stack are crucial to achieve the best application performance with low
    latency communication.
author:
- first_name: Marius
  full_name: Meyer, Marius
  id: '40778'
  last_name: Meyer
- first_name: Tobias
  full_name: Kenter, Tobias
  id: '3145'
  last_name: Kenter
- first_name: Lucian
  full_name: Petrica, Lucian
  last_name: Petrica
- first_name: Kenneth
  full_name: O’Brien, Kenneth
  last_name: O’Brien
- first_name: Michaela
  full_name: Blott, Michaela
  last_name: Blott
- first_name: Christian
  full_name: Plessl, Christian
  id: '16153'
  last_name: Plessl
  orcid: 0000-0001-5728-9982
citation:
  ama: 'Meyer M, Kenter T, Petrica L, O’Brien K, Blott M, Plessl C. Optimizing Communication
    for Latency Sensitive HPC Applications on up to 48 FPGAs Using ACCL. In: <i>Lecture
    Notes in Computer Science</i>. Springer Nature Switzerland; 2024. doi:<a href="https://doi.org/10.1007/978-3-031-69766-1_9">10.1007/978-3-031-69766-1_9</a>'
  apa: Meyer, M., Kenter, T., Petrica, L., O’Brien, K., Blott, M., &#38; Plessl, C.
    (2024). Optimizing Communication for Latency Sensitive HPC Applications on up
    to 48 FPGAs Using ACCL. In <i>Lecture Notes in Computer Science</i>. Springer
    Nature Switzerland. <a href="https://doi.org/10.1007/978-3-031-69766-1_9">https://doi.org/10.1007/978-3-031-69766-1_9</a>
  bibtex: '@inbook{Meyer_Kenter_Petrica_O’Brien_Blott_Plessl_2024, place={Cham}, title={Optimizing
    Communication for Latency Sensitive HPC Applications on up to 48 FPGAs Using ACCL},
    DOI={<a href="https://doi.org/10.1007/978-3-031-69766-1_9">10.1007/978-3-031-69766-1_9</a>},
    booktitle={Lecture Notes in Computer Science}, publisher={Springer Nature Switzerland},
    author={Meyer, Marius and Kenter, Tobias and Petrica, Lucian and O’Brien, Kenneth
    and Blott, Michaela and Plessl, Christian}, year={2024} }'
  chicago: 'Meyer, Marius, Tobias Kenter, Lucian Petrica, Kenneth O’Brien, Michaela
    Blott, and Christian Plessl. “Optimizing Communication for Latency Sensitive HPC
    Applications on up to 48 FPGAs Using ACCL.” In <i>Lecture Notes in Computer Science</i>.
    Cham: Springer Nature Switzerland, 2024. <a href="https://doi.org/10.1007/978-3-031-69766-1_9">https://doi.org/10.1007/978-3-031-69766-1_9</a>.'
  ieee: 'M. Meyer, T. Kenter, L. Petrica, K. O’Brien, M. Blott, and C. Plessl, “Optimizing
    Communication for Latency Sensitive HPC Applications on up to 48 FPGAs Using ACCL,”
    in <i>Lecture Notes in Computer Science</i>, Cham: Springer Nature Switzerland,
    2024.'
  mla: Meyer, Marius, et al. “Optimizing Communication for Latency Sensitive HPC Applications
    on up to 48 FPGAs Using ACCL.” <i>Lecture Notes in Computer Science</i>, Springer
    Nature Switzerland, 2024, doi:<a href="https://doi.org/10.1007/978-3-031-69766-1_9">10.1007/978-3-031-69766-1_9</a>.
  short: 'M. Meyer, T. Kenter, L. Petrica, K. O’Brien, M. Blott, C. Plessl, in: Lecture
    Notes in Computer Science, Springer Nature Switzerland, Cham, 2024.'
date_created: 2025-11-04T09:50:24Z
date_updated: 2025-11-04T09:51:22Z
department:
- _id: '27'
- _id: '518'
doi: 10.1007/978-3-031-69766-1_9
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
place: Cham
project:
- _id: '52'
  name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: Lecture Notes in Computer Science
publication_identifier:
  isbn:
  - '9783031697654'
  - '9783031697661'
  issn:
  - 0302-9743
  - 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
quality_controlled: '1'
status: public
title: Optimizing Communication for Latency Sensitive HPC Applications on up to 48
  FPGAs Using ACCL
type: book_chapter
user_id: '3145'
year: '2024'
...
---
_id: '53942'
abstract:
- lang: eng
  text: <jats:title>Abstract</jats:title><jats:p>Since its inception two decades ago,
    <jats:sc>Soot</jats:sc> has become one of the most widely used open-source static
    analysis frameworks. Over time it has been extended with the contributions of
    countless researchers. Yet, at the same time, the requirements for <jats:sc>Soot</jats:sc>
    have changed over the years and become increasingly at odds with some of the major
    design decisions that underlie it. In this work, we thus present <jats:sc>SootUp</jats:sc>,
    a complete reimplementation of <jats:sc>Soot</jats:sc> that seeks to fulfill these
    requirements with a novel design, while at the same time keeping elements that
    <jats:sc>Soot</jats:sc> users have grown accustomed to.</jats:p>
author:
- first_name: Kadiray
  full_name: Karakaya, Kadiray
  id: '70410'
  last_name: Karakaya
  orcid: https://orcid.org/0000-0001-9266-2084
- first_name: Stefan
  full_name: Schott, Stefan
  id: '54847'
  last_name: Schott
- first_name: Jonas
  full_name: Klauke, Jonas
  id: '40915'
  last_name: Klauke
  orcid: 0000-0001-9160-9636
- first_name: Eric
  full_name: Bodden, Eric
  id: '59256'
  last_name: Bodden
  orcid: 0000-0003-3470-3647
- first_name: Markus
  full_name: Schmidt, Markus
  last_name: Schmidt
- first_name: Linghui
  full_name: Luo, Linghui
  last_name: Luo
- first_name: Dongjie
  full_name: He, Dongjie
  last_name: He
citation:
  ama: 'Karakaya K, Schott S, Klauke J, et al. SootUp: A Redesign of the Soot Static
    Analysis Framework. In: <i>Tools and Algorithms for the Construction and Analysis
    of Systems</i>. Springer Nature Switzerland; 2024. doi:<a href="https://doi.org/10.1007/978-3-031-57246-3_13">10.1007/978-3-031-57246-3_13</a>'
  apa: 'Karakaya, K., Schott, S., Klauke, J., Bodden, E., Schmidt, M., Luo, L., &#38;
    He, D. (2024). SootUp: A Redesign of the Soot Static Analysis Framework. In <i>Tools
    and Algorithms for the Construction and Analysis of Systems</i>. Springer Nature
    Switzerland. <a href="https://doi.org/10.1007/978-3-031-57246-3_13">https://doi.org/10.1007/978-3-031-57246-3_13</a>'
  bibtex: '@inbook{Karakaya_Schott_Klauke_Bodden_Schmidt_Luo_He_2024, place={Cham},
    title={SootUp: A Redesign of the Soot Static Analysis Framework}, DOI={<a href="https://doi.org/10.1007/978-3-031-57246-3_13">10.1007/978-3-031-57246-3_13</a>},
    booktitle={Tools and Algorithms for the Construction and Analysis of Systems},
    publisher={Springer Nature Switzerland}, author={Karakaya, Kadiray and Schott,
    Stefan and Klauke, Jonas and Bodden, Eric and Schmidt, Markus and Luo, Linghui
    and He, Dongjie}, year={2024} }'
  chicago: 'Karakaya, Kadiray, Stefan Schott, Jonas Klauke, Eric Bodden, Markus Schmidt,
    Linghui Luo, and Dongjie He. “SootUp: A Redesign of the Soot Static Analysis Framework.”
    In <i>Tools and Algorithms for the Construction and Analysis of Systems</i>. Cham:
    Springer Nature Switzerland, 2024. <a href="https://doi.org/10.1007/978-3-031-57246-3_13">https://doi.org/10.1007/978-3-031-57246-3_13</a>.'
  ieee: 'K. Karakaya <i>et al.</i>, “SootUp: A Redesign of the Soot Static Analysis
    Framework,” in <i>Tools and Algorithms for the Construction and Analysis of Systems</i>,
    Cham: Springer Nature Switzerland, 2024.'
  mla: 'Karakaya, Kadiray, et al. “SootUp: A Redesign of the Soot Static Analysis
    Framework.” <i>Tools and Algorithms for the Construction and Analysis of Systems</i>,
    Springer Nature Switzerland, 2024, doi:<a href="https://doi.org/10.1007/978-3-031-57246-3_13">10.1007/978-3-031-57246-3_13</a>.'
  short: 'K. Karakaya, S. Schott, J. Klauke, E. Bodden, M. Schmidt, L. Luo, D. He,
    in: Tools and Algorithms for the Construction and Analysis of Systems, Springer
    Nature Switzerland, Cham, 2024.'
date_created: 2024-05-06T11:29:36Z
date_updated: 2025-11-11T14:26:52Z
department:
- _id: '76'
doi: 10.1007/978-3-031-57246-3_13
language:
- iso: eng
place: Cham
project:
- _id: '107'
  name: 'Reaktor: SFB 901 - Automatisierte Risikoanalyse in Bezug auf Open-Source-Abhängigkeiten
    (Hektor) (Transferproject T3)'
- _id: '668'
  name: 'HEKTOR: Automatisierte Risikoanalyse unter Berücksichtigung von Open-Source-Abhängigkeiten'
- _id: '1'
  name: 'SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen in
    dynamischen Märkten'
- _id: '82'
  name: 'SFB 901; Projektbereich T: Transferprojekte des Sonderforschungsbereichs'
- _id: '107'
  name: 'SFB 901; TP T3: Automatisierte Risikoanalyse in Bezug auf Open-Source-Abhängigkeiten
    (Hektor)'
publication: Tools and Algorithms for the Construction and Analysis of Systems
publication_identifier:
  isbn:
  - '9783031572456'
  - '9783031572463'
  issn:
  - 0302-9743
  - 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: 'SootUp: A Redesign of the Soot Static Analysis Framework'
type: book_chapter
user_id: '477'
year: '2024'
...
---
_id: '47953'
author:
- first_name: Jaroslaw
  full_name: Kornowicz, Jaroslaw
  id: '44029'
  last_name: Kornowicz
- first_name: Kirsten
  full_name: Thommes, Kirsten
  id: '72497'
  last_name: Thommes
citation:
  ama: Kornowicz J, Thommes K. Aggregating Human Domain Knowledge for Feature Ranking.
    <i>Artificial Intelligence in HCI</i>. Published online 2023. doi:<a href="https://doi.org/10.1007/978-3-031-35891-3_7">10.1007/978-3-031-35891-3_7</a>
  apa: Kornowicz, J., &#38; Thommes, K. (2023). Aggregating Human Domain Knowledge
    for Feature Ranking. <i>Artificial Intelligence in HCI</i>. <a href="https://doi.org/10.1007/978-3-031-35891-3_7">https://doi.org/10.1007/978-3-031-35891-3_7</a>
  bibtex: '@article{Kornowicz_Thommes_2023, title={Aggregating Human Domain Knowledge
    for Feature Ranking}, DOI={<a href="https://doi.org/10.1007/978-3-031-35891-3_7">10.1007/978-3-031-35891-3_7</a>},
    journal={Artificial Intelligence in HCI}, publisher={Springer Nature Switzerland},
    author={Kornowicz, Jaroslaw and Thommes, Kirsten}, year={2023} }'
  chicago: Kornowicz, Jaroslaw, and Kirsten Thommes. “Aggregating Human Domain Knowledge
    for Feature Ranking.” <i>Artificial Intelligence in HCI</i>, 2023. <a href="https://doi.org/10.1007/978-3-031-35891-3_7">https://doi.org/10.1007/978-3-031-35891-3_7</a>.
  ieee: 'J. Kornowicz and K. Thommes, “Aggregating Human Domain Knowledge for Feature
    Ranking,” <i>Artificial Intelligence in HCI</i>, 2023, doi: <a href="https://doi.org/10.1007/978-3-031-35891-3_7">10.1007/978-3-031-35891-3_7</a>.'
  mla: Kornowicz, Jaroslaw, and Kirsten Thommes. “Aggregating Human Domain Knowledge
    for Feature Ranking.” <i>Artificial Intelligence in HCI</i>, Springer Nature Switzerland,
    2023, doi:<a href="https://doi.org/10.1007/978-3-031-35891-3_7">10.1007/978-3-031-35891-3_7</a>.
  short: J. Kornowicz, K. Thommes, Artificial Intelligence in HCI (2023).
date_created: 2023-10-11T08:01:00Z
date_updated: 2023-12-05T10:15:37Z
department:
- _id: '184'
- _id: '178'
doi: 10.1007/978-3-031-35891-3_7
language:
- iso: eng
project:
- _id: '125'
  name: 'TRR 318 - C2: TRR 318 - Subproject C2'
publication: Artificial Intelligence in HCI
publication_identifier:
  isbn:
  - '9783031358906'
  - '9783031358913'
  issn:
  - 0302-9743
  - 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: Aggregating Human Domain Knowledge for Feature Ranking
type: journal_article
user_id: '42933'
year: '2023'
...
---
_id: '50479'
abstract:
- lang: eng
  text: Verifying assertions is an essential part of creating and maintaining knowledge
    graphs. Most often, this task cannot be carried out manually due to the sheer
    size of modern knowledge graphs. Hence, automatic fact-checking approaches have
    been proposed over the last decade. These approaches aim to compute automatically
    whether a given assertion is correct or incorrect. However, most fact-checking
    approaches are binary classifiers that fail to consider the volatility of some
    assertions, i.e., the fact that such assertions are only valid at certain times
    or for specific time intervals. Moreover, the few approaches able to predict when
    an assertion was valid (i.e., time-point prediction approaches) rely on manual
    feature engineering. This paper presents TEMPORALFC, a temporal fact-checking
    approach that uses multiple sources of background knowledge to assess the veracity
    and temporal validity of a given assertion. We evaluate TEMPORALFC on two datasets
    and compare it to the state of the art in fact-checking and time-point prediction.
    Our results suggest that TEMPORALFC outperforms the state of the art on the fact-checking
    task by 0.13 to 0.15 in terms of Area Under the Receiver Operating Characteristic
    curve and on the time-point prediction task by 0.25 to 0.27 in terms of Mean Reciprocal
    Rank. Our code is open-source and can be found at https://github.com/dice-group/TemporalFC.
author:
- first_name: Umair
  full_name: Qudus, Umair
  last_name: Qudus
- first_name: Michael
  full_name: Röder, Michael
  last_name: Röder
- first_name: Sabrina
  full_name: Kirrane, Sabrina
  last_name: Kirrane
- first_name: Axel-Cyrille Ngonga
  full_name: Ngomo, Axel-Cyrille Ngonga
  last_name: Ngomo
citation:
  ama: 'Qudus U, Röder M, Kirrane S, Ngomo A-CN. TemporalFC: A Temporal Fact Checking
    Approach over Knowledge Graphs. In: R. Payne T, Presutti V, Qi G, et al., eds.
    <i>The Semantic Web – ISWC 2023</i>. Vol 14265.  Lecture Notes in Computer Science.
    Springer, Cham; 2023:465–483. doi:<a href="https://doi.org/10.1007/978-3-031-47240-4_25">10.1007/978-3-031-47240-4_25</a>'
  apa: 'Qudus, U., Röder, M., Kirrane, S., &#38; Ngomo, A.-C. N. (2023). TemporalFC:
    A Temporal Fact Checking Approach over Knowledge Graphs. In T. R. Payne, V. Presutti,
    G. Qi, M. Poveda-Villalón, G. Stoilos, L. Hollink, Z. Kaoudi, G. Cheng, &#38;
    J. Li (Eds.), <i>The Semantic Web – ISWC 2023</i> (Vol. 14265, pp. 465–483). Springer,
    Cham. <a href="https://doi.org/10.1007/978-3-031-47240-4_25">https://doi.org/10.1007/978-3-031-47240-4_25</a>'
  bibtex: '@inproceedings{Qudus_Röder_Kirrane_Ngomo_2023, place={Cham}, series={ Lecture
    Notes in Computer Science}, title={TemporalFC: A Temporal Fact Checking Approach
    over Knowledge Graphs}, volume={14265}, DOI={<a href="https://doi.org/10.1007/978-3-031-47240-4_25">10.1007/978-3-031-47240-4_25</a>},
    booktitle={The Semantic Web – ISWC 2023}, publisher={Springer, Cham}, author={Qudus,
    Umair and Röder, Michael and Kirrane, Sabrina and Ngomo, Axel-Cyrille Ngonga},
    editor={R. Payne, Terry and Presutti, Valentina and Qi, Guilin and Poveda-Villalón,
    María and Stoilos, Giorgos and Hollink, Laura and Kaoudi, Zoi and Cheng, Gong
    and Li, Juanzi}, year={2023}, pages={465–483}, collection={ Lecture Notes in Computer
    Science} }'
  chicago: 'Qudus, Umair, Michael Röder, Sabrina Kirrane, and Axel-Cyrille Ngonga
    Ngomo. “TemporalFC: A Temporal Fact Checking Approach over Knowledge Graphs.”
    In <i>The Semantic Web – ISWC 2023</i>, edited by Terry R. Payne, Valentina Presutti,
    Guilin Qi, María Poveda-Villalón, Giorgos Stoilos, Laura Hollink, Zoi Kaoudi,
    Gong Cheng, and Juanzi Li, 14265:465–483.  Lecture Notes in Computer Science.
    Cham: Springer, Cham, 2023. <a href="https://doi.org/10.1007/978-3-031-47240-4_25">https://doi.org/10.1007/978-3-031-47240-4_25</a>.'
  ieee: 'U. Qudus, M. Röder, S. Kirrane, and A.-C. N. Ngomo, “TemporalFC: A Temporal
    Fact Checking Approach over Knowledge Graphs,” in <i>The Semantic Web – ISWC 2023</i>,
    Athens, Greece, 2023, vol. 14265, pp. 465–483, doi: <a href="https://doi.org/10.1007/978-3-031-47240-4_25">10.1007/978-3-031-47240-4_25</a>.'
  mla: 'Qudus, Umair, et al. “TemporalFC: A Temporal Fact Checking Approach over Knowledge
    Graphs.” <i>The Semantic Web – ISWC 2023</i>, edited by Terry R. Payne et al.,
    vol. 14265, Springer, Cham, 2023, pp. 465–483, doi:<a href="https://doi.org/10.1007/978-3-031-47240-4_25">10.1007/978-3-031-47240-4_25</a>.'
  short: 'U. Qudus, M. Röder, S. Kirrane, A.-C.N. Ngomo, in: T. R. Payne, V. Presutti,
    G. Qi, M. Poveda-Villalón, G. Stoilos, L. Hollink, Z. Kaoudi, G. Cheng, J. Li
    (Eds.), The Semantic Web – ISWC 2023, Springer, Cham, Cham, 2023, pp. 465–483.'
conference:
  end_date: 2023-11-10
  location: Athens, Greece
  name: The Semantic Web – ISWC 2023
  start_date: 2023-11-06
date_created: 2024-01-13T11:22:15Z
date_updated: 2024-01-13T11:48:28Z
ddc:
- '006'
department:
- _id: '34'
doi: 10.1007/978-3-031-47240-4_25
editor:
- first_name: Terry
  full_name: R. Payne, Terry
  last_name: R. Payne
- first_name: Valentina
  full_name: Presutti, Valentina
  last_name: Presutti
- first_name: Guilin
  full_name: Qi, Guilin
  last_name: Qi
- first_name: María
  full_name: Poveda-Villalón, María
  last_name: Poveda-Villalón
- first_name: Giorgos
  full_name: Stoilos, Giorgos
  last_name: Stoilos
- first_name: Laura
  full_name: Hollink, Laura
  last_name: Hollink
- first_name: Zoi
  full_name: Kaoudi, Zoi
  last_name: Kaoudi
- first_name: Gong
  full_name: Cheng, Gong
  last_name: Cheng
- first_name: Juanzi
  full_name: Li, Juanzi
  last_name: Li
file:
- access_level: closed
  content_type: application/pdf
  creator: uqudus
  date_created: 2024-01-13T11:25:48Z
  date_updated: 2024-01-13T11:25:48Z
  file_id: '50480'
  file_name: ISWC 2023 TemporalFC-A Temporal Fact Checking approach over Knowledge
    Graphs.pdf
  file_size: 1944818
  relation: main_file
  success: 1
file_date_updated: 2024-01-13T11:25:48Z
has_accepted_license: '1'
intvolume: '     14265'
jel:
- C
keyword:
- temporal fact checking · ensemble learning · transfer learning · time-point prediction
  · temporal knowledge graphs
language:
- iso: eng
license: https://creativecommons.org/publicdomain/zero/1.0/
page: 465–483
place: Cham
project:
- _id: '410'
  grant_number: '860801'
  name: 'KnowGraphs: KnowGraphs: Knowledge Graphs at Scale'
publication: The Semantic Web – ISWC 2023
publication_identifier:
  isbn:
  - '9783031472398'
  - '9783031472404'
  issn:
  - 0302-9743
  - 1611-3349
publication_status: published
publisher: Springer, Cham
series_title: ' Lecture Notes in Computer Science'
status: public
title: 'TemporalFC: A Temporal Fact Checking Approach over Knowledge Graphs'
type: conference
user_id: '83392'
volume: 14265
year: '2023'
...
---
_id: '51373'
author:
- first_name: Jonas Manuel
  full_name: Hanselle, Jonas Manuel
  id: '43980'
  last_name: Hanselle
  orcid: 0000-0002-1231-4985
- first_name: Johannes
  full_name: Fürnkranz, Johannes
  last_name: Fürnkranz
- first_name: Eyke
  full_name: Hüllermeier, Eyke
  id: '48129'
  last_name: Hüllermeier
citation:
  ama: 'Hanselle JM, Fürnkranz J, Hüllermeier E. Probabilistic Scoring Lists for Interpretable
    Machine Learning. In: <i>26th International Conference on Discovery Science </i>.
    Vol 14050. Lecture Notes in Computer Science. Springer Nature Switzerland; 2023:189-203.
    doi:<a href="https://doi.org/10.1007/978-3-031-45275-8_13">10.1007/978-3-031-45275-8_13</a>'
  apa: Hanselle, J. M., Fürnkranz, J., &#38; Hüllermeier, E. (2023). Probabilistic
    Scoring Lists for Interpretable Machine Learning. <i>26th International Conference
    on Discovery Science </i>, <i>14050</i>, 189–203. <a href="https://doi.org/10.1007/978-3-031-45275-8_13">https://doi.org/10.1007/978-3-031-45275-8_13</a>
  bibtex: '@inproceedings{Hanselle_Fürnkranz_Hüllermeier_2023, place={Cham}, series={Lecture
    Notes in Computer Science}, title={Probabilistic Scoring Lists for Interpretable
    Machine Learning}, volume={14050}, DOI={<a href="https://doi.org/10.1007/978-3-031-45275-8_13">10.1007/978-3-031-45275-8_13</a>},
    booktitle={26th International Conference on Discovery Science }, publisher={Springer
    Nature Switzerland}, author={Hanselle, Jonas Manuel and Fürnkranz, Johannes and
    Hüllermeier, Eyke}, year={2023}, pages={189–203}, collection={Lecture Notes in
    Computer Science} }'
  chicago: 'Hanselle, Jonas Manuel, Johannes Fürnkranz, and Eyke Hüllermeier. “Probabilistic
    Scoring Lists for Interpretable Machine Learning.” In <i>26th International Conference
    on Discovery Science </i>, 14050:189–203. Lecture Notes in Computer Science. Cham:
    Springer Nature Switzerland, 2023. <a href="https://doi.org/10.1007/978-3-031-45275-8_13">https://doi.org/10.1007/978-3-031-45275-8_13</a>.'
  ieee: 'J. M. Hanselle, J. Fürnkranz, and E. Hüllermeier, “Probabilistic Scoring
    Lists for Interpretable Machine Learning,” in <i>26th International Conference
    on Discovery Science </i>, Porto, 2023, vol. 14050, pp. 189–203, doi: <a href="https://doi.org/10.1007/978-3-031-45275-8_13">10.1007/978-3-031-45275-8_13</a>.'
  mla: Hanselle, Jonas Manuel, et al. “Probabilistic Scoring Lists for Interpretable
    Machine Learning.” <i>26th International Conference on Discovery Science </i>,
    vol. 14050, Springer Nature Switzerland, 2023, pp. 189–203, doi:<a href="https://doi.org/10.1007/978-3-031-45275-8_13">10.1007/978-3-031-45275-8_13</a>.
  short: 'J.M. Hanselle, J. Fürnkranz, E. Hüllermeier, in: 26th International Conference
    on Discovery Science , Springer Nature Switzerland, Cham, 2023, pp. 189–203.'
conference:
  end_date: 2021-10-11
  location: Porto
  name: '26th International Conference on Discovery Science '
  start_date: 2023-10-9
date_created: 2024-02-18T11:05:55Z
date_updated: 2024-02-26T08:41:49Z
doi: 10.1007/978-3-031-45275-8_13
intvolume: '     14050'
language:
- iso: eng
page: 189-203
place: Cham
publication: '26th International Conference on Discovery Science '
publication_identifier:
  isbn:
  - '9783031452741'
  - '9783031452758'
  issn:
  - 0302-9743
  - 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
series_title: Lecture Notes in Computer Science
status: public
title: Probabilistic Scoring Lists for Interpretable Machine Learning
type: conference
user_id: '54779'
volume: 14050
year: '2023'
...
---
_id: '47421'
abstract:
- lang: eng
  text: Class expression learning in description logics has long been regarded as
    an iterative search problem in an infinite conceptual space. Each iteration of
    the search process invokes a reasoner and a heuristic function. The reasoner finds
    the instances of the current expression, and the heuristic function computes the
    information gain and decides on the next step to be taken. As the size of the
    background knowledge base grows, search-based approaches for class expression
    learning become prohibitively slow. Current neural class expression synthesis
    (NCES) approaches investigate the use of neural networks for class expression
    learning in the attributive language with complement (ALC). While they show significant
    improvements over search-based approaches in runtime and quality of the computed
    solutions, they rely on the availability of pretrained embeddings for the input
    knowledge base. Moreover, they are not applicable to ontologies in more expressive
    description logics. In this paper, we propose a novel NCES approach which extends
    the state of the art to the description logic ALCHIQ(D). Our extension, dubbed
    NCES2, comes with an improved training data generator and does not require pretrained
    embeddings for the input knowledge base as both the embedding model and the class
    expression synthesizer are trained jointly. Empirical results on benchmark datasets
    suggest that our approach inherits the scalability capability of current NCES
    instances with the additional advantage that it supports more complex learning
    problems. NCES2 achieves the highest performance overall when compared to search-based
    approaches and to its predecessor NCES. We provide our source code, datasets,
    and pretrained models at https://github.com/dice-group/NCES2.
author:
- first_name: N'Dah Jean
  full_name: Kouagou, N'Dah Jean
  id: '87189'
  last_name: Kouagou
- first_name: Stefan
  full_name: Heindorf, Stefan
  id: '11871'
  last_name: Heindorf
  orcid: 0000-0002-4525-6865
- first_name: Caglar
  full_name: Demir, Caglar
  id: '43817'
  last_name: Demir
- first_name: Axel-Cyrille
  full_name: Ngonga Ngomo, Axel-Cyrille
  id: '65716'
  last_name: Ngonga Ngomo
citation:
  ama: 'Kouagou NJ, Heindorf S, Demir C, Ngonga Ngomo A-C. Neural Class Expression
    Synthesis in ALCHIQ(D). In: <i>Machine Learning and Knowledge Discovery in Databases:
    Research Track</i>. Springer Nature Switzerland; 2023. doi:<a href="https://doi.org/10.1007/978-3-031-43421-1_12">10.1007/978-3-031-43421-1_12</a>'
  apa: 'Kouagou, N. J., Heindorf, S., Demir, C., &#38; Ngonga Ngomo, A.-C. (2023).
    Neural Class Expression Synthesis in ALCHIQ(D). In <i>Machine Learning and Knowledge
    Discovery in Databases: Research Track</i>. European Conference on Machine Learning
    and Principles and Practice of Knowledge Discovery in Databases, Turin. Springer
    Nature Switzerland. <a href="https://doi.org/10.1007/978-3-031-43421-1_12">https://doi.org/10.1007/978-3-031-43421-1_12</a>'
  bibtex: '@inbook{Kouagou_Heindorf_Demir_Ngonga Ngomo_2023, place={Cham}, title={Neural
    Class Expression Synthesis in ALCHIQ(D)}, DOI={<a href="https://doi.org/10.1007/978-3-031-43421-1_12">10.1007/978-3-031-43421-1_12</a>},
    booktitle={Machine Learning and Knowledge Discovery in Databases: Research Track},
    publisher={Springer Nature Switzerland}, author={Kouagou, N’Dah Jean and Heindorf,
    Stefan and Demir, Caglar and Ngonga Ngomo, Axel-Cyrille}, year={2023} }'
  chicago: 'Kouagou, N’Dah Jean, Stefan Heindorf, Caglar Demir, and Axel-Cyrille Ngonga
    Ngomo. “Neural Class Expression Synthesis in ALCHIQ(D).” In <i>Machine Learning
    and Knowledge Discovery in Databases: Research Track</i>. Cham: Springer Nature
    Switzerland, 2023. <a href="https://doi.org/10.1007/978-3-031-43421-1_12">https://doi.org/10.1007/978-3-031-43421-1_12</a>.'
  ieee: 'N. J. Kouagou, S. Heindorf, C. Demir, and A.-C. Ngonga Ngomo, “Neural Class
    Expression Synthesis in ALCHIQ(D),” in <i>Machine Learning and Knowledge Discovery
    in Databases: Research Track</i>, Cham: Springer Nature Switzerland, 2023.'
  mla: 'Kouagou, N’Dah Jean, et al. “Neural Class Expression Synthesis in ALCHIQ(D).”
    <i>Machine Learning and Knowledge Discovery in Databases: Research Track</i>,
    Springer Nature Switzerland, 2023, doi:<a href="https://doi.org/10.1007/978-3-031-43421-1_12">10.1007/978-3-031-43421-1_12</a>.'
  short: 'N.J. Kouagou, S. Heindorf, C. Demir, A.-C. Ngonga Ngomo, in: Machine Learning
    and Knowledge Discovery in Databases: Research Track, Springer Nature Switzerland,
    Cham, 2023.'
conference:
  end_date: 2023-09-22
  location: Turin
  name: European Conference on Machine Learning and Principles and Practice of Knowledge
    Discovery in Databases
  start_date: 2023-09-18
date_created: 2023-09-25T13:42:01Z
date_updated: 2024-05-22T10:48:24Z
ddc:
- '000'
department:
- _id: '760'
- _id: '574'
doi: 10.1007/978-3-031-43421-1_12
file:
- access_level: open_access
  content_type: application/pdf
  creator: heindorf
  date_created: 2024-05-22T10:45:08Z
  date_updated: 2024-05-22T10:46:58Z
  file_id: '54417'
  file_name: NCES2_public.pdf
  file_size: 432708
  relation: main_file
file_date_updated: 2024-05-22T10:46:58Z
has_accepted_license: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://papers.dice-research.org/2023/ECML_NCES2/NCES2_public.pdf
oa: '1'
place: Cham
publication: 'Machine Learning and Knowledge Discovery in Databases: Research Track'
publication_identifier:
  isbn:
  - '9783031434204'
  - '9783031434211'
  issn:
  - 0302-9743
  - 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: Neural Class Expression Synthesis in ALCHIQ(D)
type: book_chapter
user_id: '11871'
year: '2023'
...
---
_id: '46516'
abstract:
- lang: eng
  text: Linked knowledge graphs build the backbone of many data-driven applications
    such as search engines, conversational agents and e-commerce solutions. Declarative
    link discovery frameworks use complex link specifications to express the conditions
    under which a link between two resources can be deemed to exist. However, understanding
    such complex link specifications is a challenging task for non-expert users of
    link discovery frameworks. In this paper, we address this drawback by devising
    NMV-LS, a language model-based verbalization approach for translating complex
    link specifications into natural language. NMV-LS relies on the results of rule-based
    link specification verbalization to apply continuous training on T5, a large language
    model based on the Transformerarchitecture. We evaluated NMV-LS on English and
    German datasets using well-known machine translation metrics such as BLUE, METEOR,
    ChrF++ and TER. Our results suggest that our approach achieves a verbalization
    performance close to that of humans and outperforms state of the art approaches.
    Our source code and datasets are publicly available at https://github.com/dice-group/NMV-LS.
author:
- first_name: Abdullah Fathi Ahmed
  full_name: Ahmed, Abdullah Fathi Ahmed
  id: '29670'
  last_name: Ahmed
- first_name: Asep Fajar
  full_name: Firmansyah, Asep Fajar
  id: '76787'
  last_name: Firmansyah
- first_name: Mohamed
  full_name: Sherif, Mohamed
  id: '67234'
  last_name: Sherif
  orcid: https://orcid.org/0000-0002-9927-2203
- first_name: Diego
  full_name: Moussallem, Diego
  id: '71635'
  last_name: Moussallem
- first_name: Axel-Cyrille
  full_name: Ngonga Ngomo, Axel-Cyrille
  id: '65716'
  last_name: Ngonga Ngomo
citation:
  ama: 'Ahmed AFA, Firmansyah AF, Sherif M, Moussallem D, Ngonga Ngomo A-C. Explainable
    Integration of Knowledge Graphs Using Large Language Models. In: <i>Natural Language
    Processing and Information Systems</i>. Springer Nature Switzerland; 2023. doi:<a
    href="https://doi.org/10.1007/978-3-031-35320-8_9">10.1007/978-3-031-35320-8_9</a>'
  apa: Ahmed, A. F. A., Firmansyah, A. F., Sherif, M., Moussallem, D., &#38; Ngonga
    Ngomo, A.-C. (2023). Explainable Integration of Knowledge Graphs Using Large Language
    Models. In <i>Natural Language Processing and Information Systems</i>. Springer
    Nature Switzerland. <a href="https://doi.org/10.1007/978-3-031-35320-8_9">https://doi.org/10.1007/978-3-031-35320-8_9</a>
  bibtex: '@inbook{Ahmed_Firmansyah_Sherif_Moussallem_Ngonga Ngomo_2023, place={Cham},
    title={Explainable Integration of Knowledge Graphs Using Large Language Models},
    DOI={<a href="https://doi.org/10.1007/978-3-031-35320-8_9">10.1007/978-3-031-35320-8_9</a>},
    booktitle={Natural Language Processing and Information Systems}, publisher={Springer
    Nature Switzerland}, author={Ahmed, Abdullah Fathi Ahmed and Firmansyah, Asep
    Fajar and Sherif, Mohamed and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille},
    year={2023} }'
  chicago: 'Ahmed, Abdullah Fathi Ahmed, Asep Fajar Firmansyah, Mohamed Sherif, Diego
    Moussallem, and Axel-Cyrille Ngonga Ngomo. “Explainable Integration of Knowledge
    Graphs Using Large Language Models.” In <i>Natural Language Processing and Information
    Systems</i>. Cham: Springer Nature Switzerland, 2023. <a href="https://doi.org/10.1007/978-3-031-35320-8_9">https://doi.org/10.1007/978-3-031-35320-8_9</a>.'
  ieee: 'A. F. A. Ahmed, A. F. Firmansyah, M. Sherif, D. Moussallem, and A.-C. Ngonga
    Ngomo, “Explainable Integration of Knowledge Graphs Using Large Language Models,”
    in <i>Natural Language Processing and Information Systems</i>, Cham: Springer
    Nature Switzerland, 2023.'
  mla: Ahmed, Abdullah Fathi Ahmed, et al. “Explainable Integration of Knowledge Graphs
    Using Large Language Models.” <i>Natural Language Processing and Information Systems</i>,
    Springer Nature Switzerland, 2023, doi:<a href="https://doi.org/10.1007/978-3-031-35320-8_9">10.1007/978-3-031-35320-8_9</a>.
  short: 'A.F.A. Ahmed, A.F. Firmansyah, M. Sherif, D. Moussallem, A.-C. Ngonga Ngomo,
    in: Natural Language Processing and Information Systems, Springer Nature Switzerland,
    Cham, 2023.'
date_created: 2023-08-16T08:57:11Z
date_updated: 2024-06-04T12:23:45Z
department:
- _id: '34'
- _id: '574'
doi: 10.1007/978-3-031-35320-8_9
language:
- iso: eng
place: Cham
publication: Natural Language Processing and Information Systems
publication_identifier:
  isbn:
  - '9783031353192'
  - '9783031353208'
  issn:
  - 0302-9743
  - 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: Explainable Integration of Knowledge Graphs Using Large Language Models
type: book_chapter
user_id: '76787'
year: '2023'
...
---
_id: '54579'
author:
- first_name: Yasir
  full_name: Mahmood, Yasir
  id: '99353'
  last_name: Mahmood
- first_name: Jonni
  full_name: Virtema, Jonni
  last_name: Virtema
citation:
  ama: 'Mahmood Y, Virtema J. Parameterized Complexity of Propositional Inclusion
    and Independence Logic. In: <i>Logic, Language, Information, and Computation</i>.
    Springer Nature Switzerland; 2023. doi:<a href="https://doi.org/10.1007/978-3-031-39784-4_17">10.1007/978-3-031-39784-4_17</a>'
  apa: Mahmood, Y., &#38; Virtema, J. (2023). Parameterized Complexity of Propositional
    Inclusion and Independence Logic. In <i>Logic, Language, Information, and Computation</i>.
    Springer Nature Switzerland. <a href="https://doi.org/10.1007/978-3-031-39784-4_17">https://doi.org/10.1007/978-3-031-39784-4_17</a>
  bibtex: '@inbook{Mahmood_Virtema_2023, place={Cham}, title={Parameterized Complexity
    of Propositional Inclusion and Independence Logic}, DOI={<a href="https://doi.org/10.1007/978-3-031-39784-4_17">10.1007/978-3-031-39784-4_17</a>},
    booktitle={Logic, Language, Information, and Computation}, publisher={Springer
    Nature Switzerland}, author={Mahmood, Yasir and Virtema, Jonni}, year={2023} }'
  chicago: 'Mahmood, Yasir, and Jonni Virtema. “Parameterized Complexity of Propositional
    Inclusion and Independence Logic.” In <i>Logic, Language, Information, and Computation</i>.
    Cham: Springer Nature Switzerland, 2023. <a href="https://doi.org/10.1007/978-3-031-39784-4_17">https://doi.org/10.1007/978-3-031-39784-4_17</a>.'
  ieee: 'Y. Mahmood and J. Virtema, “Parameterized Complexity of Propositional Inclusion
    and Independence Logic,” in <i>Logic, Language, Information, and Computation</i>,
    Cham: Springer Nature Switzerland, 2023.'
  mla: Mahmood, Yasir, and Jonni Virtema. “Parameterized Complexity of Propositional
    Inclusion and Independence Logic.” <i>Logic, Language, Information, and Computation</i>,
    Springer Nature Switzerland, 2023, doi:<a href="https://doi.org/10.1007/978-3-031-39784-4_17">10.1007/978-3-031-39784-4_17</a>.
  short: 'Y. Mahmood, J. Virtema, in: Logic, Language, Information, and Computation,
    Springer Nature Switzerland, Cham, 2023.'
date_created: 2024-06-04T09:59:47Z
date_updated: 2024-06-04T15:52:48Z
department:
- _id: '574'
doi: 10.1007/978-3-031-39784-4_17
language:
- iso: eng
place: Cham
publication: Logic, Language, Information, and Computation
publication_identifier:
  isbn:
  - '9783031397837'
  - '9783031397844'
  issn:
  - 0302-9743
  - 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: Parameterized Complexity of Propositional Inclusion and Independence Logic
type: book_chapter
user_id: '99353'
year: '2023'
...
---
_id: '54909'
author:
- first_name: Jonas Manuel
  full_name: Hanselle, Jonas Manuel
  id: '43980'
  last_name: Hanselle
  orcid: 0000-0002-1231-4985
- first_name: Johannes
  full_name: Fürnkranz, Johannes
  last_name: Fürnkranz
- first_name: Eyke
  full_name: Hüllermeier, Eyke
  id: '48129'
  last_name: Hüllermeier
citation:
  ama: 'Hanselle JM, Fürnkranz J, Hüllermeier E. Probabilistic Scoring Lists for Interpretable
    Machine Learning. In: <i>Discovery Science</i>. Springer Nature Switzerland; 2023.
    doi:<a href="https://doi.org/10.1007/978-3-031-45275-8_13">10.1007/978-3-031-45275-8_13</a>'
  apa: Hanselle, J. M., Fürnkranz, J., &#38; Hüllermeier, E. (2023). Probabilistic
    Scoring Lists for Interpretable Machine Learning. In <i>Discovery Science</i>.
    Springer Nature Switzerland. <a href="https://doi.org/10.1007/978-3-031-45275-8_13">https://doi.org/10.1007/978-3-031-45275-8_13</a>
  bibtex: '@inbook{Hanselle_Fürnkranz_Hüllermeier_2023, place={Cham}, title={Probabilistic
    Scoring Lists for Interpretable Machine Learning}, DOI={<a href="https://doi.org/10.1007/978-3-031-45275-8_13">10.1007/978-3-031-45275-8_13</a>},
    booktitle={Discovery Science}, publisher={Springer Nature Switzerland}, author={Hanselle,
    Jonas Manuel and Fürnkranz, Johannes and Hüllermeier, Eyke}, year={2023} }'
  chicago: 'Hanselle, Jonas Manuel, Johannes Fürnkranz, and Eyke Hüllermeier. “Probabilistic
    Scoring Lists for Interpretable Machine Learning.” In <i>Discovery Science</i>.
    Cham: Springer Nature Switzerland, 2023. <a href="https://doi.org/10.1007/978-3-031-45275-8_13">https://doi.org/10.1007/978-3-031-45275-8_13</a>.'
  ieee: 'J. M. Hanselle, J. Fürnkranz, and E. Hüllermeier, “Probabilistic Scoring
    Lists for Interpretable Machine Learning,” in <i>Discovery Science</i>, Cham:
    Springer Nature Switzerland, 2023.'
  mla: Hanselle, Jonas Manuel, et al. “Probabilistic Scoring Lists for Interpretable
    Machine Learning.” <i>Discovery Science</i>, Springer Nature Switzerland, 2023,
    doi:<a href="https://doi.org/10.1007/978-3-031-45275-8_13">10.1007/978-3-031-45275-8_13</a>.
  short: 'J.M. Hanselle, J. Fürnkranz, E. Hüllermeier, in: Discovery Science, Springer
    Nature Switzerland, Cham, 2023.'
date_created: 2024-06-26T14:24:29Z
date_updated: 2024-06-26T14:25:50Z
department:
- _id: '660'
doi: 10.1007/978-3-031-45275-8_13
language:
- iso: eng
place: Cham
project:
- _id: '125'
  name: 'TRR 318 - C2: TRR 318 - Subproject C2'
publication: Discovery Science
publication_identifier:
  isbn:
  - '9783031452741'
  - '9783031452758'
  issn:
  - 0302-9743
  - 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: Probabilistic Scoring Lists for Interpretable Machine Learning
type: book_chapter
user_id: '72497'
year: '2023'
...
---
_id: '43395'
author:
- first_name: Roman
  full_name: Trentinaglia, Roman
  id: '49934'
  last_name: Trentinaglia
  orcid: 0000-0001-9728-4991
- first_name: Sven
  full_name: Merschjohann, Sven
  id: '11394'
  last_name: Merschjohann
- first_name: Markus
  full_name: Fockel, Markus
  id: '8472'
  last_name: Fockel
  orcid: 0000-0002-1269-0702
- first_name: Hendrik
  full_name: Eikerling, Hendrik
  id: '29279'
  last_name: Eikerling
citation:
  ama: 'Trentinaglia R, Merschjohann S, Fockel M, Eikerling H. Eliciting Security
    Requirements – An Experience Report. In: <i>REFSQ 2023: Requirements Engineering:
    Foundation for Software Quality</i>. Springer Nature Switzerland; 2023. doi:<a
    href="https://doi.org/10.1007/978-3-031-29786-1_25">10.1007/978-3-031-29786-1_25</a>'
  apa: 'Trentinaglia, R., Merschjohann, S., Fockel, M., &#38; Eikerling, H. (2023).
    Eliciting Security Requirements – An Experience Report. <i>REFSQ 2023: Requirements
    Engineering: Foundation for Software Quality</i>. <a href="https://doi.org/10.1007/978-3-031-29786-1_25">https://doi.org/10.1007/978-3-031-29786-1_25</a>'
  bibtex: '@inproceedings{Trentinaglia_Merschjohann_Fockel_Eikerling_2023, place={Cham},
    title={Eliciting Security Requirements – An Experience Report}, DOI={<a href="https://doi.org/10.1007/978-3-031-29786-1_25">10.1007/978-3-031-29786-1_25</a>},
    booktitle={REFSQ 2023: Requirements Engineering: Foundation for Software Quality},
    publisher={Springer Nature Switzerland}, author={Trentinaglia, Roman and Merschjohann,
    Sven and Fockel, Markus and Eikerling, Hendrik}, year={2023} }'
  chicago: 'Trentinaglia, Roman, Sven Merschjohann, Markus Fockel, and Hendrik Eikerling.
    “Eliciting Security Requirements – An Experience Report.” In <i>REFSQ 2023: Requirements
    Engineering: Foundation for Software Quality</i>. Cham: Springer Nature Switzerland,
    2023. <a href="https://doi.org/10.1007/978-3-031-29786-1_25">https://doi.org/10.1007/978-3-031-29786-1_25</a>.'
  ieee: 'R. Trentinaglia, S. Merschjohann, M. Fockel, and H. Eikerling, “Eliciting
    Security Requirements – An Experience Report,” 2023, doi: <a href="https://doi.org/10.1007/978-3-031-29786-1_25">10.1007/978-3-031-29786-1_25</a>.'
  mla: 'Trentinaglia, Roman, et al. “Eliciting Security Requirements – An Experience
    Report.” <i>REFSQ 2023: Requirements Engineering: Foundation for Software Quality</i>,
    Springer Nature Switzerland, 2023, doi:<a href="https://doi.org/10.1007/978-3-031-29786-1_25">10.1007/978-3-031-29786-1_25</a>.'
  short: 'R. Trentinaglia, S. Merschjohann, M. Fockel, H. Eikerling, in: REFSQ 2023:
    Requirements Engineering: Foundation for Software Quality, Springer Nature Switzerland,
    Cham, 2023.'
date_created: 2023-04-04T12:47:31Z
date_updated: 2023-04-04T12:51:41Z
department:
- _id: '241'
- _id: '662'
doi: 10.1007/978-3-031-29786-1_25
language:
- iso: eng
place: Cham
publication: 'REFSQ 2023: Requirements Engineering: Foundation for Software Quality'
publication_identifier:
  isbn:
  - '9783031297854'
  - '9783031297861'
  issn:
  - 0302-9743
  - 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: Eliciting Security Requirements – An Experience Report
type: conference
user_id: '8472'
year: '2023'
...
---
_id: '44769'
author:
- first_name: Jannik
  full_name: Castenow, Jannik
  id: '38705'
  last_name: Castenow
- first_name: Jonas
  full_name: Harbig, Jonas
  id: '47213'
  last_name: Harbig
- first_name: Friedhelm
  full_name: Meyer auf der Heide, Friedhelm
  id: '15523'
  last_name: Meyer auf der Heide
citation:
  ama: 'Castenow J, Harbig J, Meyer auf der Heide F. Unifying Gathering Protocols
    for Swarms of Mobile Robots. In: <i>Lecture Notes in Computer Science</i>. Springer
    International Publishing; 2023. doi:<a href="https://doi.org/10.1007/978-3-031-30448-4_1">10.1007/978-3-031-30448-4_1</a>'
  apa: Castenow, J., Harbig, J., &#38; Meyer auf der Heide, F. (2023). Unifying Gathering
    Protocols for Swarms of Mobile Robots. In <i>Lecture Notes in Computer Science</i>.
    Springer International Publishing. <a href="https://doi.org/10.1007/978-3-031-30448-4_1">https://doi.org/10.1007/978-3-031-30448-4_1</a>
  bibtex: '@inbook{Castenow_Harbig_Meyer auf der Heide_2023, place={Cham}, title={Unifying
    Gathering Protocols for Swarms of Mobile Robots}, DOI={<a href="https://doi.org/10.1007/978-3-031-30448-4_1">10.1007/978-3-031-30448-4_1</a>},
    booktitle={Lecture Notes in Computer Science}, publisher={Springer International
    Publishing}, author={Castenow, Jannik and Harbig, Jonas and Meyer auf der Heide,
    Friedhelm}, year={2023} }'
  chicago: 'Castenow, Jannik, Jonas Harbig, and Friedhelm Meyer auf der Heide. “Unifying
    Gathering Protocols for Swarms of Mobile Robots.” In <i>Lecture Notes in Computer
    Science</i>. Cham: Springer International Publishing, 2023. <a href="https://doi.org/10.1007/978-3-031-30448-4_1">https://doi.org/10.1007/978-3-031-30448-4_1</a>.'
  ieee: 'J. Castenow, J. Harbig, and F. Meyer auf der Heide, “Unifying Gathering Protocols
    for Swarms of Mobile Robots,” in <i>Lecture Notes in Computer Science</i>, Cham:
    Springer International Publishing, 2023.'
  mla: Castenow, Jannik, et al. “Unifying Gathering Protocols for Swarms of Mobile
    Robots.” <i>Lecture Notes in Computer Science</i>, Springer International Publishing,
    2023, doi:<a href="https://doi.org/10.1007/978-3-031-30448-4_1">10.1007/978-3-031-30448-4_1</a>.
  short: 'J. Castenow, J. Harbig, F. Meyer auf der Heide, in: Lecture Notes in Computer
    Science, Springer International Publishing, Cham, 2023.'
date_created: 2023-05-11T13:13:45Z
date_updated: 2023-05-11T13:14:43Z
department:
- _id: '63'
doi: 10.1007/978-3-031-30448-4_1
language:
- iso: eng
place: Cham
project:
- _id: '106'
  name: 'Algorithmen für Schwarmrobotik: Verteiltes Rechnen trifft Dynamische Systeme'
publication: Lecture Notes in Computer Science
publication_identifier:
  isbn:
  - '9783031304477'
  - '9783031304484'
  issn:
  - 0302-9743
  - 1611-3349
publication_status: published
publisher: Springer International Publishing
status: public
title: Unifying Gathering Protocols for Swarms of Mobile Robots
type: book_chapter
user_id: '38705'
year: '2023'
...
---
_id: '46867'
author:
- first_name: Peter
  full_name: Dieter, Peter
  id: '88592'
  last_name: Dieter
citation:
  ama: 'Dieter P. A Regret Policy for the Dynamic Vehicle Routing Problem with Time
    Windows. In: <i>Lecture Notes in Computer Science</i>. Springer Nature Switzerland;
    2023. doi:<a href="https://doi.org/10.1007/978-3-031-43612-3_14">10.1007/978-3-031-43612-3_14</a>'
  apa: Dieter, P. (2023). A Regret Policy for the Dynamic Vehicle Routing Problem
    with Time Windows. In <i>Lecture Notes in Computer Science</i>. Springer Nature
    Switzerland. <a href="https://doi.org/10.1007/978-3-031-43612-3_14">https://doi.org/10.1007/978-3-031-43612-3_14</a>
  bibtex: '@inbook{Dieter_2023, place={Cham}, title={A Regret Policy for the Dynamic
    Vehicle Routing Problem with Time Windows}, DOI={<a href="https://doi.org/10.1007/978-3-031-43612-3_14">10.1007/978-3-031-43612-3_14</a>},
    booktitle={Lecture Notes in Computer Science}, publisher={Springer Nature Switzerland},
    author={Dieter, Peter}, year={2023} }'
  chicago: 'Dieter, Peter. “A Regret Policy for the Dynamic Vehicle Routing Problem
    with Time Windows.” In <i>Lecture Notes in Computer Science</i>. Cham: Springer
    Nature Switzerland, 2023. <a href="https://doi.org/10.1007/978-3-031-43612-3_14">https://doi.org/10.1007/978-3-031-43612-3_14</a>.'
  ieee: 'P. Dieter, “A Regret Policy for the Dynamic Vehicle Routing Problem with Time
    Windows,” in <i>Lecture Notes in Computer Science</i>, Cham: Springer Nature Switzerland,
    2023.'
  mla: Dieter, Peter. “A Regret Policy for the Dynamic Vehicle Routing Problem with Time
    Windows.” <i>Lecture Notes in Computer Science</i>, Springer Nature Switzerland,
    2023, doi:<a href="https://doi.org/10.1007/978-3-031-43612-3_14">10.1007/978-3-031-43612-3_14</a>.
  short: 'P. Dieter, in: Lecture Notes in Computer Science, Springer Nature Switzerland,
    Cham, 2023.'
date_created: 2023-09-07T17:46:08Z
date_updated: 2023-09-07T17:52:46Z
ddc:
- '000'
department:
- _id: '277'
doi: 10.1007/978-3-031-43612-3_14
has_accepted_license: '1'
language:
- iso: eng
place: Cham
publication: Lecture Notes in Computer Science
publication_identifier:
  isbn:
  - '9783031436116'
  - '9783031436123'
  issn:
  - 0302-9743
  - 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: A Regret Policy for the Dynamic Vehicle Routing Problem with Time Windows
type: book_chapter
user_id: '51811'
year: '2023'
...
---
_id: '57221'
author:
- first_name: Sandeep
  full_name: Babu, Sandeep
  last_name: Babu
- first_name: Majid
  full_name: Jegarian, Majid
  last_name: Jegarian
- first_name: Dirk
  full_name: Fischer, Dirk
  id: '15357'
  last_name: Fischer
  orcid: 0000-0002-0792-6370
- first_name: Bärbel
  full_name: Mertsching, Bärbel
  last_name: Mertsching
citation:
  ama: 'Babu S, Jegarian M, Fischer D, Mertsching B. Fast 3D Semantic Segmentation
    Using a Self Attention Network and Random Sampling. In: <i>Lecture Notes in Computer
    Science</i>. Springer Nature Switzerland; 2023. doi:<a href="https://doi.org/10.1007/978-3-031-43360-3_21">10.1007/978-3-031-43360-3_21</a>'
  apa: Babu, S., Jegarian, M., Fischer, D., &#38; Mertsching, B. (2023). Fast 3D Semantic
    Segmentation Using a Self Attention Network and Random Sampling. In <i>Lecture
    Notes in Computer Science</i>. Springer Nature Switzerland. <a href="https://doi.org/10.1007/978-3-031-43360-3_21">https://doi.org/10.1007/978-3-031-43360-3_21</a>
  bibtex: '@inbook{Babu_Jegarian_Fischer_Mertsching_2023, title={Fast 3D Semantic
    Segmentation Using a Self Attention Network and Random Sampling}, DOI={<a href="https://doi.org/10.1007/978-3-031-43360-3_21">10.1007/978-3-031-43360-3_21</a>},
    booktitle={Lecture Notes in Computer Science}, publisher={Springer Nature Switzerland},
    author={Babu, Sandeep and Jegarian, Majid and Fischer, Dirk and Mertsching, Bärbel},
    year={2023} }'
  chicago: Babu, Sandeep, Majid Jegarian, Dirk Fischer, and Bärbel Mertsching. “Fast
    3D Semantic Segmentation Using a Self Attention Network and Random Sampling.”
    In <i>Lecture Notes in Computer Science</i>. Springer Nature Switzerland, 2023.
    <a href="https://doi.org/10.1007/978-3-031-43360-3_21">https://doi.org/10.1007/978-3-031-43360-3_21</a>.
  ieee: S. Babu, M. Jegarian, D. Fischer, and B. Mertsching, “Fast 3D Semantic Segmentation
    Using a Self Attention Network and Random Sampling,” in <i>Lecture Notes in Computer
    Science</i>, Springer Nature Switzerland, 2023.
  mla: Babu, Sandeep, et al. “Fast 3D Semantic Segmentation Using a Self Attention
    Network and Random Sampling.” <i>Lecture Notes in Computer Science</i>, Springer
    Nature Switzerland, 2023, doi:<a href="https://doi.org/10.1007/978-3-031-43360-3_21">10.1007/978-3-031-43360-3_21</a>.
  short: 'S. Babu, M. Jegarian, D. Fischer, B. Mertsching, in: Lecture Notes in Computer
    Science, Springer Nature Switzerland, 2023.'
date_created: 2024-11-19T10:29:32Z
date_updated: 2025-01-22T15:39:20Z
department:
- _id: '50'
doi: 10.1007/978-3-031-43360-3_21
language:
- iso: eng
publication: Lecture Notes in Computer Science
publication_identifier:
  isbn:
  - '9783031433597'
  - '9783031433603'
  issn:
  - 0302-9743
  - 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: Fast 3D Semantic Segmentation Using a Self Attention Network and Random Sampling
type: book_chapter
user_id: '15357'
year: '2023'
...
---
_id: '46572'
abstract:
- lang: eng
  text: Indonesian is classified as underrepresented in the Natural Language Processing
    (NLP) field, despite being the tenth most spoken language in the world with 198
    million speakers. The paucity of datasets is recognized as the main reason for
    the slow advancements in NLP research for underrepresented languages. Significant
    attempts were made in 2020 to address this drawback for Indonesian. The Indonesian
    Natural Language Understanding (IndoNLU) benchmark was introduced alongside IndoBERT
    pre-trained language model. The second benchmark, Indonesian Language Evaluation
    Montage (IndoLEM), was presented in the same year. These benchmarks support several
    tasks, including Named Entity Recognition (NER). However, all NER datasets are
    in the public domain and do not contain domain-specific datasets. To alleviate
    this drawback, we introduce IndQNER, a manually annotated NER benchmark dataset
    in the religious domain that adheres to a meticulously designed annotation guideline.
    Since Indonesia has the world’s largest Muslim population, we build the dataset
    from the Indonesian translation of the Quran. The dataset includes 2475 named
    entities representing 18 different classes. To assess the annotation quality of
    IndQNER, we perform experiments with BiLSTM and CRF-based NER, as well as IndoBERT
    fine-tuning. The results reveal that the first model outperforms the second model
    achieving 0.98 F1 points. This outcome indicates that IndQNER may be an acceptable
    evaluation metric for Indonesian NER tasks in the aforementioned domain, widening
    the research’s domain range.
author:
- first_name: Ria Hari
  full_name: Gusmita, Ria Hari
  id: '71039'
  last_name: Gusmita
- first_name: Asep Fajar
  full_name: Firmansyah, Asep Fajar
  id: '76787'
  last_name: Firmansyah
- first_name: Diego
  full_name: Moussallem, Diego
  id: '71635'
  last_name: Moussallem
- first_name: Axel-Cyrille
  full_name: Ngonga Ngomo, Axel-Cyrille
  id: '65716'
  last_name: Ngonga Ngomo
citation:
  ama: 'Gusmita RH, Firmansyah AF, Moussallem D, Ngonga Ngomo A-C. IndQNER: Named
    Entity Recognition Benchmark Dataset from the Indonesian Translation of the Quran.
    In: <i>Natural Language Processing and Information Systems</i>. Springer Nature
    Switzerland; 2023. doi:<a href="https://doi.org/10.1007/978-3-031-35320-8_12">10.1007/978-3-031-35320-8_12</a>'
  apa: 'Gusmita, R. H., Firmansyah, A. F., Moussallem, D., &#38; Ngonga Ngomo, A.-C.
    (2023). IndQNER: Named Entity Recognition Benchmark Dataset from the Indonesian
    Translation of the Quran. In <i>Natural Language Processing and Information Systems</i>.
    International Conference on Applications of Natural Language to Information Systems
    (NLDB) 2023, Derby, UK. Springer Nature Switzerland. <a href="https://doi.org/10.1007/978-3-031-35320-8_12">https://doi.org/10.1007/978-3-031-35320-8_12</a>'
  bibtex: '@inbook{Gusmita_Firmansyah_Moussallem_Ngonga Ngomo_2023, place={Cham},
    title={IndQNER: Named Entity Recognition Benchmark Dataset from the Indonesian
    Translation of the Quran}, DOI={<a href="https://doi.org/10.1007/978-3-031-35320-8_12">10.1007/978-3-031-35320-8_12</a>},
    booktitle={Natural Language Processing and Information Systems}, publisher={Springer
    Nature Switzerland}, author={Gusmita, Ria Hari and Firmansyah, Asep Fajar and
    Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}, year={2023} }'
  chicago: 'Gusmita, Ria Hari, Asep Fajar Firmansyah, Diego Moussallem, and Axel-Cyrille
    Ngonga Ngomo. “IndQNER: Named Entity Recognition Benchmark Dataset from the Indonesian
    Translation of the Quran.” In <i>Natural Language Processing and Information Systems</i>.
    Cham: Springer Nature Switzerland, 2023. <a href="https://doi.org/10.1007/978-3-031-35320-8_12">https://doi.org/10.1007/978-3-031-35320-8_12</a>.'
  ieee: 'R. H. Gusmita, A. F. Firmansyah, D. Moussallem, and A.-C. Ngonga Ngomo, “IndQNER:
    Named Entity Recognition Benchmark Dataset from the Indonesian Translation of the Quran,”
    in <i>Natural Language Processing and Information Systems</i>, Cham: Springer
    Nature Switzerland, 2023.'
  mla: 'Gusmita, Ria Hari, et al. “IndQNER: Named Entity Recognition Benchmark Dataset
    from the Indonesian Translation of the Quran.” <i>Natural Language Processing
    and Information Systems</i>, Springer Nature Switzerland, 2023, doi:<a href="https://doi.org/10.1007/978-3-031-35320-8_12">10.1007/978-3-031-35320-8_12</a>.'
  short: 'R.H. Gusmita, A.F. Firmansyah, D. Moussallem, A.-C. Ngonga Ngomo, in: Natural
    Language Processing and Information Systems, Springer Nature Switzerland, Cham,
    2023.'
conference:
  end_date: 2023-06-23
  location: Derby, UK
  name: International Conference on Applications of Natural Language to Information
    Systems (NLDB) 2023
  start_date: 2023-06-21
date_created: 2023-08-17T12:41:45Z
date_updated: 2024-11-19T15:41:34Z
department:
- _id: '34'
- _id: '574'
doi: 10.1007/978-3-031-35320-8_12
keyword:
- NER benchmark dataset
- Indonesian
- specific domain
language:
- iso: eng
place: Cham
publication: Natural Language Processing and Information Systems
publication_identifier:
  isbn:
  - '9783031353192'
  - '9783031353208'
  issn:
  - 0302-9743
  - 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
related_material:
  link:
  - relation: confirmation
    url: https://link.springer.com/chapter/10.1007/978-3-031-35320-8_12
status: public
title: 'IndQNER: Named Entity Recognition Benchmark Dataset from the Indonesian Translation
  of the Quran'
type: book_chapter
user_id: '71039'
year: '2023'
...
---
_id: '52859'
author:
- first_name: Igor
  full_name: de Camargo e Souza Câmara, Igor
  last_name: de Camargo e Souza Câmara
- first_name: Anni-Yasmin
  full_name: Turhan, Anni-Yasmin
  id: '104470'
  last_name: Turhan
citation:
  ama: "de Camargo e Souza Câmara I, Turhan A-Y. Deciding Subsumption in Defeasible
    \U0001D4D4\U0001D4DB\U0001D4D8⊥ with Typicality Models. In: <i>Logics in Artificial
    Intelligence</i>. Springer Nature Switzerland; 2023. doi:<a href=\"https://doi.org/10.1007/978-3-031-43619-2_36\">10.1007/978-3-031-43619-2_36</a>"
  apa: "de Camargo e Souza Câmara, I., &#38; Turhan, A.-Y. (2023). Deciding Subsumption
    in Defeasible \U0001D4D4\U0001D4DB\U0001D4D8⊥ with Typicality Models. In <i>Logics
    in Artificial Intelligence</i>. Springer Nature Switzerland. <a href=\"https://doi.org/10.1007/978-3-031-43619-2_36\">https://doi.org/10.1007/978-3-031-43619-2_36</a>"
  bibtex: "@inbook{de Camargo e Souza Câmara_Turhan_2023, place={Cham}, title={Deciding
    Subsumption in Defeasible \U0001D4D4\U0001D4DB\U0001D4D8⊥ with Typicality Models},
    DOI={<a href=\"https://doi.org/10.1007/978-3-031-43619-2_36\">10.1007/978-3-031-43619-2_36</a>},
    booktitle={Logics in Artificial Intelligence}, publisher={Springer Nature Switzerland},
    author={de Camargo e Souza Câmara, Igor and Turhan, Anni-Yasmin}, year={2023}
    }"
  chicago: "Camargo e Souza Câmara, Igor de, and Anni-Yasmin Turhan. “Deciding Subsumption
    in Defeasible \U0001D4D4\U0001D4DB\U0001D4D8⊥ with Typicality Models.” In <i>Logics
    in Artificial Intelligence</i>. Cham: Springer Nature Switzerland, 2023. <a href=\"https://doi.org/10.1007/978-3-031-43619-2_36\">https://doi.org/10.1007/978-3-031-43619-2_36</a>."
  ieee: "I. de Camargo e Souza Câmara and A.-Y. Turhan, “Deciding Subsumption in Defeasible
    \U0001D4D4\U0001D4DB\U0001D4D8⊥ with Typicality Models,” in <i>Logics in Artificial
    Intelligence</i>, Cham: Springer Nature Switzerland, 2023."
  mla: "de Camargo e Souza Câmara, Igor, and Anni-Yasmin Turhan. “Deciding Subsumption
    in Defeasible \U0001D4D4\U0001D4DB\U0001D4D8⊥ with Typicality Models.” <i>Logics
    in Artificial Intelligence</i>, Springer Nature Switzerland, 2023, doi:<a href=\"https://doi.org/10.1007/978-3-031-43619-2_36\">10.1007/978-3-031-43619-2_36</a>."
  short: 'I. de Camargo e Souza Câmara, A.-Y. Turhan, in: Logics in Artificial Intelligence,
    Springer Nature Switzerland, Cham, 2023.'
date_created: 2024-03-25T13:56:30Z
date_updated: 2024-12-11T13:57:36Z
department:
- _id: '888'
doi: 10.1007/978-3-031-43619-2_36
language:
- iso: eng
place: Cham
publication: Logics in Artificial Intelligence
publication_identifier:
  isbn:
  - '9783031436185'
  - '9783031436192'
  issn:
  - 0302-9743
  - 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: "Deciding Subsumption in Defeasible \U0001D4D4\U0001D4DB\U0001D4D8⊥ with Typicality
  Models"
type: book_chapter
user_id: '15504'
year: '2023'
...
---
_id: '54588'
author:
- first_name: Ali
  full_name: Manzoor, Ali
  id: '77309'
  last_name: Manzoor
  orcid: https://orcid.org/0000-0001-8403-5160
- first_name: Muhammad
  full_name: Saleem, Muhammad
  last_name: Saleem
- first_name: Diego
  full_name: Moussallem, Diego
  id: '71635'
  last_name: Moussallem
- first_name: Mohamed
  full_name: Sherif, Mohamed
  id: '67234'
  last_name: Sherif
  orcid: https://orcid.org/0000-0002-9927-2203
- first_name: Axel-Cyrille
  full_name: Ngonga Ngomo, Axel-Cyrille
  id: '65716'
  last_name: Ngonga Ngomo
citation:
  ama: 'Manzoor A, Saleem M, Moussallem D, Sherif M, Ngonga Ngomo A-C. RELD: A Knowledge
    Graph of Relation Extraction Datasets. In: <i>The Semantic Web</i>. Springer Nature
    Switzerland; 2023. doi:<a href="https://doi.org/10.1007/978-3-031-33455-9_20">10.1007/978-3-031-33455-9_20</a>'
  apa: 'Manzoor, A., Saleem, M., Moussallem, D., Sherif, M., &#38; Ngonga Ngomo, A.-C.
    (2023). RELD: A Knowledge Graph of Relation Extraction Datasets. In <i>The Semantic
    Web</i>. Springer Nature Switzerland. <a href="https://doi.org/10.1007/978-3-031-33455-9_20">https://doi.org/10.1007/978-3-031-33455-9_20</a>'
  bibtex: '@inbook{Manzoor_Saleem_Moussallem_Sherif_Ngonga Ngomo_2023, place={Cham},
    title={RELD: A Knowledge Graph of Relation Extraction Datasets}, DOI={<a href="https://doi.org/10.1007/978-3-031-33455-9_20">10.1007/978-3-031-33455-9_20</a>},
    booktitle={The Semantic Web}, publisher={Springer Nature Switzerland}, author={Manzoor,
    Ali and Saleem, Muhammad and Moussallem, Diego and Sherif, Mohamed and Ngonga
    Ngomo, Axel-Cyrille}, year={2023} }'
  chicago: 'Manzoor, Ali, Muhammad Saleem, Diego Moussallem, Mohamed Sherif, and Axel-Cyrille
    Ngonga Ngomo. “RELD: A Knowledge Graph of Relation Extraction Datasets.” In <i>The
    Semantic Web</i>. Cham: Springer Nature Switzerland, 2023. <a href="https://doi.org/10.1007/978-3-031-33455-9_20">https://doi.org/10.1007/978-3-031-33455-9_20</a>.'
  ieee: 'A. Manzoor, M. Saleem, D. Moussallem, M. Sherif, and A.-C. Ngonga Ngomo,
    “RELD: A Knowledge Graph of Relation Extraction Datasets,” in <i>The Semantic
    Web</i>, Cham: Springer Nature Switzerland, 2023.'
  mla: 'Manzoor, Ali, et al. “RELD: A Knowledge Graph of Relation Extraction Datasets.”
    <i>The Semantic Web</i>, Springer Nature Switzerland, 2023, doi:<a href="https://doi.org/10.1007/978-3-031-33455-9_20">10.1007/978-3-031-33455-9_20</a>.'
  short: 'A. Manzoor, M. Saleem, D. Moussallem, M. Sherif, A.-C. Ngonga Ngomo, in:
    The Semantic Web, Springer Nature Switzerland, Cham, 2023.'
date_created: 2024-06-04T12:28:49Z
date_updated: 2025-09-11T11:41:57Z
department:
- _id: '574'
doi: 10.1007/978-3-031-33455-9_20
language:
- iso: eng
place: Cham
publication: The Semantic Web
publication_identifier:
  isbn:
  - '9783031334542'
  - '9783031334559'
  issn:
  - 0302-9743
  - 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: 'RELD: A Knowledge Graph of Relation Extraction Datasets'
type: book_chapter
user_id: '77309'
year: '2023'
...
---
_id: '48776'
author:
- first_name: Maximilian
  full_name: Muschalik, Maximilian
  last_name: Muschalik
- first_name: Fabian
  full_name: Fumagalli, Fabian
  id: '93420'
  last_name: Fumagalli
- first_name: Barbara
  full_name: Hammer, Barbara
  last_name: Hammer
- first_name: Eyke
  full_name: Huellermeier, Eyke
  id: '48129'
  last_name: Huellermeier
citation:
  ama: 'Muschalik M, Fumagalli F, Hammer B, Huellermeier E. iSAGE: An Incremental
    Version of SAGE for Online Explanation on Data Streams. In: <i>Machine Learning
    and Knowledge Discovery in Databases: Research Track - European Conference (ECML
    PKDD)</i>. Springer Nature Switzerland; 2023. doi:<a href="https://doi.org/10.1007/978-3-031-43418-1_26">10.1007/978-3-031-43418-1_26</a>'
  apa: 'Muschalik, M., Fumagalli, F., Hammer, B., &#38; Huellermeier, E. (2023). iSAGE:
    An Incremental Version of SAGE for Online Explanation on Data Streams. In <i>Machine
    Learning and Knowledge Discovery in Databases: Research Track - European Conference
    (ECML PKDD)</i>. Springer Nature Switzerland. <a href="https://doi.org/10.1007/978-3-031-43418-1_26">https://doi.org/10.1007/978-3-031-43418-1_26</a>'
  bibtex: '@inbook{Muschalik_Fumagalli_Hammer_Huellermeier_2023, title={iSAGE: An
    Incremental Version of SAGE for Online Explanation on Data Streams}, DOI={<a href="https://doi.org/10.1007/978-3-031-43418-1_26">10.1007/978-3-031-43418-1_26</a>},
    booktitle={Machine Learning and Knowledge Discovery in Databases: Research Track
    - European Conference (ECML PKDD)}, publisher={Springer Nature Switzerland}, author={Muschalik,
    Maximilian and Fumagalli, Fabian and Hammer, Barbara and Huellermeier, Eyke},
    year={2023} }'
  chicago: 'Muschalik, Maximilian, Fabian Fumagalli, Barbara Hammer, and Eyke Huellermeier.
    “ISAGE: An Incremental Version of SAGE for Online Explanation on Data Streams.”
    In <i>Machine Learning and Knowledge Discovery in Databases: Research Track -
    European Conference (ECML PKDD)</i>. Springer Nature Switzerland, 2023. <a href="https://doi.org/10.1007/978-3-031-43418-1_26">https://doi.org/10.1007/978-3-031-43418-1_26</a>.'
  ieee: 'M. Muschalik, F. Fumagalli, B. Hammer, and E. Huellermeier, “iSAGE: An Incremental
    Version of SAGE for Online Explanation on Data Streams,” in <i>Machine Learning
    and Knowledge Discovery in Databases: Research Track - European Conference (ECML
    PKDD)</i>, Springer Nature Switzerland, 2023.'
  mla: 'Muschalik, Maximilian, et al. “ISAGE: An Incremental Version of SAGE for Online
    Explanation on Data Streams.” <i>Machine Learning and Knowledge Discovery in Databases:
    Research Track - European Conference (ECML PKDD)</i>, Springer Nature Switzerland,
    2023, doi:<a href="https://doi.org/10.1007/978-3-031-43418-1_26">10.1007/978-3-031-43418-1_26</a>.'
  short: 'M. Muschalik, F. Fumagalli, B. Hammer, E. Huellermeier, in: Machine Learning
    and Knowledge Discovery in Databases: Research Track - European Conference (ECML
    PKDD), Springer Nature Switzerland, 2023.'
date_created: 2023-11-10T14:11:20Z
date_updated: 2025-09-11T16:27:26Z
department:
- _id: '660'
doi: 10.1007/978-3-031-43418-1_26
language:
- iso: eng
project:
- _id: '126'
  name: 'TRR 318 - C3: TRR 318 - Subproject C3'
- _id: '117'
  name: 'TRR 318 - C: TRR 318 - Project Area C'
- _id: '109'
  name: 'TRR 318: TRR 318 - Erklärbarkeit konstruieren'
publication: 'Machine Learning and Knowledge Discovery in Databases: Research Track
  - European Conference (ECML PKDD)'
publication_identifier:
  eisbn:
  - '9783031434181'
  eissn:
  - 1611-3349
  isbn:
  - '9783031434174'
  issn:
  - 0302-9743
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: 'iSAGE: An Incremental Version of SAGE for Online Explanation on Data Streams'
type: book_chapter
user_id: '93420'
year: '2023'
...