---
_id: '54412'
author:
- 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: 'Firmansyah AF, Moussallem D, Ngonga Ngomo A-C. ESLM: Improving Entity Summarization
by Leveraging Language Models. In: The Semantic Web. Springer Nature Switzerland;
2024. doi:10.1007/978-3-031-60626-7_9'
apa: 'Firmansyah, A. F., Moussallem, D., & Ngonga Ngomo, A.-C. (2024). ESLM:
Improving Entity Summarization by Leveraging Language Models. In The Semantic
Web. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-60626-7_9'
bibtex: '@inbook{Firmansyah_Moussallem_Ngonga Ngomo_2024, place={Cham}, title={ESLM:
Improving Entity Summarization by Leveraging Language Models}, DOI={10.1007/978-3-031-60626-7_9},
booktitle={The Semantic Web}, publisher={Springer Nature Switzerland}, author={Firmansyah,
Asep Fajar and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}, year={2024}
}'
chicago: 'Firmansyah, Asep Fajar, Diego Moussallem, and Axel-Cyrille Ngonga Ngomo.
“ESLM: Improving Entity Summarization by Leveraging Language Models.” In The
Semantic Web. Cham: Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-60626-7_9.'
ieee: 'A. F. Firmansyah, D. Moussallem, and A.-C. Ngonga Ngomo, “ESLM: Improving
Entity Summarization by Leveraging Language Models,” in The Semantic Web,
Cham: Springer Nature Switzerland, 2024.'
mla: 'Firmansyah, Asep Fajar, et al. “ESLM: Improving Entity Summarization by Leveraging
Language Models.” The Semantic Web, Springer Nature Switzerland, 2024,
doi:10.1007/978-3-031-60626-7_9.'
short: 'A.F. Firmansyah, D. Moussallem, A.-C. Ngonga Ngomo, in: The Semantic Web,
Springer Nature Switzerland, Cham, 2024.'
date_created: 2024-05-22T09:00:03Z
date_updated: 2024-06-04T11:09:23Z
department:
- _id: '574'
- _id: '34'
doi: 10.1007/978-3-031-60626-7_9
language:
- iso: eng
place: Cham
publication: The Semantic Web
publication_identifier:
isbn:
- '9783031606250'
- '9783031606267'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: 'ESLM: Improving Entity Summarization by Leveraging Language Models'
type: book_chapter
user_id: '76787'
year: '2024'
...
---
_id: '54580'
author:
- first_name: Yasir
full_name: Mahmood, Yasir
id: '99353'
last_name: Mahmood
- first_name: Jonni
full_name: Virtema, Jonni
last_name: Virtema
- first_name: Timon
full_name: Barlag, Timon
last_name: Barlag
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Mahmood Y, Virtema J, Barlag T, Ngonga Ngomo A-C. Computing Repairs Under
Functional and Inclusion Dependencies via Argumentation. In: Lecture Notes
in Computer Science. Springer Nature Switzerland; 2024. doi:10.1007/978-3-031-56940-1_2'
apa: Mahmood, Y., Virtema, J., Barlag, T., & Ngonga Ngomo, A.-C. (2024). Computing
Repairs Under Functional and Inclusion Dependencies via Argumentation. In Lecture
Notes in Computer Science. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-56940-1_2
bibtex: '@inbook{Mahmood_Virtema_Barlag_Ngonga Ngomo_2024, place={Cham}, title={Computing
Repairs Under Functional and Inclusion Dependencies via Argumentation}, DOI={10.1007/978-3-031-56940-1_2},
booktitle={Lecture Notes in Computer Science}, publisher={Springer Nature Switzerland},
author={Mahmood, Yasir and Virtema, Jonni and Barlag, Timon and Ngonga Ngomo,
Axel-Cyrille}, year={2024} }'
chicago: 'Mahmood, Yasir, Jonni Virtema, Timon Barlag, and Axel-Cyrille Ngonga Ngomo.
“Computing Repairs Under Functional and Inclusion Dependencies via Argumentation.”
In Lecture Notes in Computer Science. Cham: Springer Nature Switzerland,
2024. https://doi.org/10.1007/978-3-031-56940-1_2.'
ieee: 'Y. Mahmood, J. Virtema, T. Barlag, and A.-C. Ngonga Ngomo, “Computing Repairs
Under Functional and Inclusion Dependencies via Argumentation,” in Lecture
Notes in Computer Science, Cham: Springer Nature Switzerland, 2024.'
mla: Mahmood, Yasir, et al. “Computing Repairs Under Functional and Inclusion Dependencies
via Argumentation.” Lecture Notes in Computer Science, Springer Nature
Switzerland, 2024, doi:10.1007/978-3-031-56940-1_2.
short: 'Y. Mahmood, J. Virtema, T. Barlag, A.-C. Ngonga Ngomo, in: Lecture Notes
in Computer Science, Springer Nature Switzerland, Cham, 2024.'
date_created: 2024-06-04T10:01:16Z
date_updated: 2024-06-04T15:53:59Z
department:
- _id: '574'
doi: 10.1007/978-3-031-56940-1_2
language:
- iso: eng
place: Cham
publication: Lecture Notes in Computer Science
publication_identifier:
isbn:
- '9783031569395'
- '9783031569401'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: Computing Repairs Under Functional and Inclusion Dependencies via Argumentation
type: book_chapter
user_id: '99353'
year: '2024'
...
---
_id: '54624'
author:
- first_name: Jörg
full_name: Papenkordt, Jörg
last_name: Papenkordt
citation:
ama: 'Papenkordt J. Navigating Transparency: The Influence of On-demand Explanations
on Non-expert User Interaction with AI. In: Artificial Intelligence in HCI.
Springer Nature Switzerland; 2024. doi:10.1007/978-3-031-60606-9_14'
apa: 'Papenkordt, J. (2024). Navigating Transparency: The Influence of On-demand
Explanations on Non-expert User Interaction with AI. In Artificial Intelligence
in HCI. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-60606-9_14'
bibtex: '@inbook{Papenkordt_2024, place={Cham}, title={Navigating Transparency:
The Influence of On-demand Explanations on Non-expert User Interaction with AI},
DOI={10.1007/978-3-031-60606-9_14},
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 Artificial Intelligence
in HCI. Cham: Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-60606-9_14.'
ieee: 'J. Papenkordt, “Navigating Transparency: The Influence of On-demand Explanations
on Non-expert User Interaction with AI,” in Artificial Intelligence in HCI,
Cham: Springer Nature Switzerland, 2024.'
mla: 'Papenkordt, Jörg. “Navigating Transparency: The Influence of On-Demand Explanations
on Non-Expert User Interaction with AI.” Artificial Intelligence in HCI,
Springer Nature Switzerland, 2024, doi:10.1007/978-3-031-60606-9_14.'
short: 'J. Papenkordt, in: Artificial Intelligence in HCI, Springer Nature Switzerland,
Cham, 2024.'
date_created: 2024-06-05T10:52:55Z
date_updated: 2024-06-05T10:52:59Z
department:
- _id: '178'
- _id: '184'
doi: 10.1007/978-3-031-60606-9_14
language:
- iso: eng
place: Cham
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: '52759'
author:
- first_name: Oliver Ludger
full_name: Preuß, Oliver Ludger
id: '102978'
last_name: Preuß
orcid: 0009-0008-9308-2418
- first_name: Jeroen
full_name: Rook, Jeroen
last_name: Rook
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
citation:
ama: 'Preuß OL, Rook J, Trautmann H. On the Potential of Multi-objective Automated
Algorithm Configuration on Multi-modal Multi-objective Optimisation Problems.
In: Applications of Evolutionary Computation. Springer Nature Switzerland;
2024. doi:10.1007/978-3-031-56852-7_20'
apa: Preuß, O. L., Rook, J., & Trautmann, H. (2024). On the Potential of Multi-objective
Automated Algorithm Configuration on Multi-modal Multi-objective Optimisation
Problems. In Applications of Evolutionary Computation. Springer Nature
Switzerland. https://doi.org/10.1007/978-3-031-56852-7_20
bibtex: '@inbook{Preuß_Rook_Trautmann_2024, place={Cham}, title={On the Potential
of Multi-objective Automated Algorithm Configuration on Multi-modal Multi-objective
Optimisation Problems}, DOI={10.1007/978-3-031-56852-7_20},
booktitle={Applications of Evolutionary Computation}, publisher={Springer Nature
Switzerland}, author={Preuß, Oliver Ludger and Rook, Jeroen and Trautmann, Heike},
year={2024} }'
chicago: 'Preuß, Oliver Ludger, Jeroen Rook, and Heike Trautmann. “On the Potential
of Multi-Objective Automated Algorithm Configuration on Multi-Modal Multi-Objective
Optimisation Problems.” In Applications of Evolutionary Computation. Cham:
Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-56852-7_20.'
ieee: 'O. L. Preuß, J. Rook, and H. Trautmann, “On the Potential of Multi-objective
Automated Algorithm Configuration on Multi-modal Multi-objective Optimisation
Problems,” in Applications of Evolutionary Computation, Cham: Springer
Nature Switzerland, 2024.'
mla: Preuß, Oliver Ludger, et al. “On the Potential of Multi-Objective Automated
Algorithm Configuration on Multi-Modal Multi-Objective Optimisation Problems.”
Applications of Evolutionary Computation, Springer Nature Switzerland,
2024, doi:10.1007/978-3-031-56852-7_20.
short: 'O.L. Preuß, J. Rook, H. Trautmann, in: Applications of Evolutionary Computation,
Springer Nature Switzerland, Cham, 2024.'
date_created: 2024-03-25T08:22:57Z
date_updated: 2024-06-10T11:55:38Z
department:
- _id: '819'
doi: 10.1007/978-3-031-56852-7_20
language:
- iso: eng
place: Cham
publication: Applications of Evolutionary Computation
publication_identifier:
isbn:
- '9783031568510'
- '9783031568527'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: On the Potential of Multi-objective Automated Algorithm Configuration on Multi-modal
Multi-objective Optimisation Problems
type: book_chapter
user_id: '15504'
year: '2024'
...
---
_id: '54802'
abstract:
- lang: eng
text: Motivated by the prospect of nano-robots that assist human physiological functions
at the nanoscale, we investigate the coating problem in the three-dimensional
model for hybrid programmable matter. In this model, a single agent with strictly
limited viewing range and the computational capability of a deterministic finite
automaton can act on passive tiles by picking up a tile, moving, and placing it
at some spot. The goal of the coating problem is to fill each node of some surface
graph of size n with a tile. We first solve the problem on a restricted class
of graphs with a single tile type, and then use constantly many tile types to
encode this graph in certain surface graphs capturing the surface of 3D objects.
Our algorithm requires O(n^2) steps, which is worst-case optimal compared to an
agent with global knowledge and no memory restrictions.
author:
- first_name: Irina
full_name: Kostitsyna, Irina
last_name: Kostitsyna
- first_name: David Jan
full_name: Liedtke, David Jan
id: '55557'
last_name: Liedtke
- first_name: Christian
full_name: Scheideler, Christian
id: '20792'
last_name: Scheideler
citation:
ama: 'Kostitsyna I, Liedtke DJ, Scheideler C. Universal Coating by 3D Hybrid Programmable
Matter. In: Emek Y, ed. Structural Information and Communication Complexity.
Springer Nature Switzerland; 2024. doi:10.1007/978-3-031-60603-8_21'
apa: Kostitsyna, I., Liedtke, D. J., & Scheideler, C. (2024). Universal Coating
by 3D Hybrid Programmable Matter. In Y. Emek (Ed.), Structural Information
and Communication Complexity. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-60603-8_21
bibtex: '@inbook{Kostitsyna_Liedtke_Scheideler_2024, place={Cham}, title={Universal
Coating by 3D Hybrid Programmable Matter}, DOI={10.1007/978-3-031-60603-8_21},
booktitle={Structural Information and Communication Complexity}, publisher={Springer
Nature Switzerland}, author={Kostitsyna, Irina and Liedtke, David Jan and Scheideler,
Christian}, editor={Emek, Yuval}, year={2024} }'
chicago: 'Kostitsyna, Irina, David Jan Liedtke, and Christian Scheideler. “Universal
Coating by 3D Hybrid Programmable Matter.” In Structural Information and Communication
Complexity, edited by Yuval Emek. Cham: Springer Nature Switzerland, 2024.
https://doi.org/10.1007/978-3-031-60603-8_21.'
ieee: 'I. Kostitsyna, D. J. Liedtke, and C. Scheideler, “Universal Coating by 3D
Hybrid Programmable Matter,” in Structural Information and Communication Complexity,
Y. Emek, Ed. Cham: Springer Nature Switzerland, 2024.'
mla: Kostitsyna, Irina, et al. “Universal Coating by 3D Hybrid Programmable Matter.”
Structural Information and Communication Complexity, edited by Yuval Emek,
Springer Nature Switzerland, 2024, doi:10.1007/978-3-031-60603-8_21.
short: 'I. Kostitsyna, D.J. Liedtke, C. Scheideler, in: Y. Emek (Ed.), Structural
Information and Communication Complexity, Springer Nature Switzerland, Cham, 2024.'
date_created: 2024-06-18T07:36:04Z
date_updated: 2024-07-18T09:32:58Z
department:
- _id: '79'
doi: 10.1007/978-3-031-60603-8_21
editor:
- first_name: Yuval
full_name: Emek, Yuval
last_name: Emek
keyword:
- Programmable Matter
- Coating
- Finite Automaton
- 3D
language:
- iso: eng
place: Cham
publication: Structural Information and Communication Complexity
publication_identifier:
isbn:
- '9783031606021'
- '9783031606038'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: Universal Coating by 3D Hybrid Programmable Matter
type: book_chapter
user_id: '55557'
year: '2024'
...
---
_id: '56079'
author:
- first_name: Maximilian Manfred
full_name: Radoy, Maximilian Manfred
id: '68826'
last_name: Radoy
orcid: 0009-0005-3059-6823
- first_name: Sven Niclas
full_name: Hebrok, Sven Niclas
id: '55616'
last_name: Hebrok
orcid: 0009-0006-1172-1665
- first_name: Juraj
full_name: Somorovsky, Juraj
id: '83504'
last_name: Somorovsky
orcid: 0000-0002-3593-7720
citation:
ama: 'Radoy MM, Hebrok SN, Somorovsky J. In Search of Partitioning Oracle Attacks
Against TLS Session Tickets. In: Lecture Notes in Computer Science. Springer
Nature Switzerland; 2024. doi:10.1007/978-3-031-70896-1_16'
apa: Radoy, M. M., Hebrok, S. N., & Somorovsky, J. (2024). In Search of Partitioning
Oracle Attacks Against TLS Session Tickets. In Lecture Notes in Computer Science.
Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-70896-1_16
bibtex: '@inbook{Radoy_Hebrok_Somorovsky_2024, place={Cham}, title={In Search of Partitioning
Oracle Attacks Against TLS Session Tickets}, DOI={10.1007/978-3-031-70896-1_16},
booktitle={Lecture Notes in Computer Science}, publisher={Springer Nature Switzerland},
author={Radoy, Maximilian Manfred and Hebrok, Sven Niclas and Somorovsky, Juraj},
year={2024} }'
chicago: 'Radoy, Maximilian Manfred, Sven Niclas Hebrok, and Juraj Somorovsky. “In
Search of Partitioning Oracle Attacks Against TLS Session Tickets.” In Lecture
Notes in Computer Science. Cham: Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-70896-1_16.'
ieee: 'M. M. Radoy, S. N. Hebrok, and J. Somorovsky, “In Search of Partitioning
Oracle Attacks Against TLS Session Tickets,” in Lecture Notes in Computer Science,
Cham: Springer Nature Switzerland, 2024.'
mla: Radoy, Maximilian Manfred, et al. “In Search of Partitioning Oracle Attacks
Against TLS Session Tickets.” Lecture Notes in Computer Science, Springer
Nature Switzerland, 2024, doi:10.1007/978-3-031-70896-1_16.
short: 'M.M. Radoy, S.N. Hebrok, J. Somorovsky, in: Lecture Notes in Computer Science,
Springer Nature Switzerland, Cham, 2024.'
date_created: 2024-09-06T07:06:14Z
date_updated: 2024-10-07T13:38:28Z
department:
- _id: '632'
doi: 10.1007/978-3-031-70896-1_16
language:
- iso: eng
place: Cham
publication: Lecture Notes in Computer Science
publication_identifier:
isbn:
- '9783031708954'
- '9783031708961'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: In Search of Partitioning Oracle Attacks Against TLS Session Tickets
type: book_chapter
user_id: '68826'
year: '2024'
...
---
_id: '56606'
abstract:
- lang: eng
text: AbstractMost 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
last_name: Meyer
- first_name: Tobias
full_name: Kenter, Tobias
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
last_name: Plessl
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: Lecture
Notes in Computer Science. Springer Nature Switzerland; 2024. doi:10.1007/978-3-031-69766-1_9'
apa: Meyer, M., Kenter, T., Petrica, L., O’Brien, K., Blott, M., & Plessl, C.
(2024). Optimizing Communication for Latency Sensitive HPC Applications on up
to 48 FPGAs Using ACCL. In Lecture Notes in Computer Science. Springer
Nature Switzerland. https://doi.org/10.1007/978-3-031-69766-1_9
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={10.1007/978-3-031-69766-1_9},
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 Lecture Notes in Computer Science.
Cham: Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-69766-1_9.'
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 Lecture Notes in Computer Science, Cham: Springer Nature Switzerland,
2024.'
mla: Meyer, Marius, et al. “Optimizing Communication for Latency Sensitive HPC Applications
on up to 48 FPGAs Using ACCL.” Lecture Notes in Computer Science, Springer
Nature Switzerland, 2024, doi:10.1007/978-3-031-69766-1_9.
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: 2024-10-14T07:51:51Z
date_updated: 2024-10-14T07:55:50Z
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
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: '56581'
abstract:
- lang: eng
text: 'In recent years, there has been a surge in natural language processing research
focused on low-resource languages (LrLs), underscoring the growing recognition
that LrLs deserve the same attention as high-resource languages (HrLs). This shift
is crucial for ensuring linguistic diversity and inclusivity in the digital age.
Despite Indonesian ranking as the 11th most spoken language globally, it remains
under-resourced in terms of computational tools and datasets. Within the semantic
web domain, Entity Linking (EL) is pivotal, linking textual entity mentions to
their corresponding entries in knowledge bases. This process is foundational for
advanced information extraction tasks, including relation extraction and event
detection. To bolster EL research in Indonesian, we introduce IndEL, the first
benchmark dataset tailored for both general and specific domains. IndEL was manually
curated using Wikidata, adhering to a rigorous set of annotation guidelines. We
used two Named Entity Recognition (NER) benchmark datasets for entity extraction:
NER UI for the general domain and IndQNER for the specific domain. IndQNER focused
on entities from the Indonesian translation of the Quran. IndEL comprises 4765
entities in the general domain and 2453 in the specific domain. Using the GERBIL
framework, we use IndEL to evaluate the performance of various EL systems, such
as Babelfy, DBpedia Spotlight, MAG, OpenTapioca, and WAT. Our further investigation
reveals that within Wikidata, a significant number of NIL entities remain unlinked
due to the limited number of Indonesian labels and the use of acronyms. Especially
in the specific domain, transliteration and translation processes performed to
create the Indonesian translation of the Quran contribute to the presence of entities
in a descriptive form and as synonyms.'
author:
- first_name: Ria Hari
full_name: Gusmita, Ria Hari
id: '71039'
last_name: Gusmita
- first_name: Muhammad Faruq Amiral
full_name: Abshar, Muhammad Faruq Amiral
last_name: Abshar
- 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, Abshar MFA, Moussallem D, Ngonga Ngomo A-C. IndEL: Indonesian
Entity Linking Benchmark Dataset for General and Specific Domains. In: Lecture
Notes in Computer Science. Springer Nature Switzerland; 2024. doi:10.1007/978-3-031-70239-6_34'
apa: 'Gusmita, R. H., Abshar, M. F. A., Moussallem, D., & Ngonga Ngomo, A.-C.
(2024). IndEL: Indonesian Entity Linking Benchmark Dataset for General and Specific
Domains. In Lecture Notes in Computer Science. The 29th Annual International
Conference on Natural Language & Information Systems (NLDB 2024), Turin, Italy.
Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-70239-6_34'
bibtex: '@inbook{Gusmita_Abshar_Moussallem_Ngonga Ngomo_2024, place={Cham}, title={IndEL:
Indonesian Entity Linking Benchmark Dataset for General and Specific Domains},
DOI={10.1007/978-3-031-70239-6_34},
booktitle={Lecture Notes in Computer Science}, publisher={Springer Nature Switzerland},
author={Gusmita, Ria Hari and Abshar, Muhammad Faruq Amiral and Moussallem, Diego
and Ngonga Ngomo, Axel-Cyrille}, year={2024} }'
chicago: 'Gusmita, Ria Hari, Muhammad Faruq Amiral Abshar, Diego Moussallem, and
Axel-Cyrille Ngonga Ngomo. “IndEL: Indonesian Entity Linking Benchmark Dataset
for General and Specific Domains.” In Lecture Notes in Computer Science.
Cham: Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-70239-6_34.'
ieee: 'R. H. Gusmita, M. F. A. Abshar, D. Moussallem, and A.-C. Ngonga Ngomo, “IndEL:
Indonesian Entity Linking Benchmark Dataset for General and Specific Domains,”
in Lecture Notes in Computer Science, Cham: Springer Nature Switzerland,
2024.'
mla: 'Gusmita, Ria Hari, et al. “IndEL: Indonesian Entity Linking Benchmark Dataset
for General and Specific Domains.” Lecture Notes in Computer Science, Springer
Nature Switzerland, 2024, doi:10.1007/978-3-031-70239-6_34.'
short: 'R.H. Gusmita, M.F.A. Abshar, D. Moussallem, A.-C. Ngonga Ngomo, in: Lecture
Notes in Computer Science, Springer Nature Switzerland, Cham, 2024.'
conference:
end_date: 2024-06-27
location: Turin, Italy
name: The 29th Annual International Conference on Natural Language & Information
Systems (NLDB 2024)
start_date: 2024-06-25
date_created: 2024-10-10T14:29:08Z
date_updated: 2024-10-14T19:22:16Z
doi: 10.1007/978-3-031-70239-6_34
keyword:
- entity linking benchmark dataset
- Indonesian
- general and specific domains
language:
- iso: eng
place: Cham
publication: Lecture Notes in Computer Science
publication_identifier:
isbn:
- '9783031702389'
- '9783031702396'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
related_material:
link:
- relation: confirmation
url: https://link.springer.com/chapter/10.1007/978-3-031-70239-6_34
status: public
title: 'IndEL: Indonesian Entity Linking Benchmark Dataset for General and Specific
Domains'
type: book_chapter
user_id: '71039'
year: '2024'
...
---
_id: '56237'
author:
- first_name: Johanna
full_name: Schönherr, Johanna
id: '99409'
last_name: Schönherr
- first_name: Richard E.
full_name: Mayer, Richard E.
last_name: Mayer
citation:
ama: 'Schönherr J, Mayer RE. Anxiety Moderates the Effects of Drawing Support on
Drawing Accuracy in Mathematical Modeling. In: Lecture Notes in Computer Science.
Springer Nature Switzerland; 2024. doi:10.1007/978-3-031-71291-3_26'
apa: Schönherr, J., & Mayer, R. E. (2024). Anxiety Moderates the Effects of
Drawing Support on Drawing Accuracy in Mathematical Modeling. In Lecture Notes
in Computer Science. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-71291-3_26
bibtex: '@inbook{Schönherr_Mayer_2024, place={Cham}, title={Anxiety Moderates the
Effects of Drawing Support on Drawing Accuracy in Mathematical Modeling}, DOI={10.1007/978-3-031-71291-3_26},
booktitle={Lecture Notes in Computer Science}, publisher={Springer Nature Switzerland},
author={Schönherr, Johanna and Mayer, Richard E.}, year={2024} }'
chicago: 'Schönherr, Johanna, and Richard E. Mayer. “Anxiety Moderates the Effects
of Drawing Support on Drawing Accuracy in Mathematical Modeling.” In Lecture
Notes in Computer Science. Cham: Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-71291-3_26.'
ieee: 'J. Schönherr and R. E. Mayer, “Anxiety Moderates the Effects of Drawing Support
on Drawing Accuracy in Mathematical Modeling,” in Lecture Notes in Computer
Science, Cham: Springer Nature Switzerland, 2024.'
mla: Schönherr, Johanna, and Richard E. Mayer. “Anxiety Moderates the Effects of
Drawing Support on Drawing Accuracy in Mathematical Modeling.” Lecture Notes
in Computer Science, Springer Nature Switzerland, 2024, doi:10.1007/978-3-031-71291-3_26.
short: 'J. Schönherr, R.E. Mayer, in: Lecture Notes in Computer Science, Springer
Nature Switzerland, Cham, 2024.'
date_created: 2024-09-24T18:03:42Z
date_updated: 2025-05-27T12:15:57Z
department:
- _id: '913'
doi: 10.1007/978-3-031-71291-3_26
language:
- iso: eng
place: Cham
publication: Lecture Notes in Computer Science
publication_identifier:
isbn:
- '9783031712906'
- '9783031712913'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: Anxiety Moderates the Effects of Drawing Support on Drawing Accuracy in Mathematical
Modeling
type: book_chapter
user_id: '99409'
year: '2024'
...
---
_id: '64202'
author:
- first_name: Revoti Prasad
full_name: Bora, Revoti Prasad
last_name: Bora
- first_name: Philipp
full_name: Terhörst, Philipp
id: '97123'
last_name: Terhörst
- first_name: Raymond
full_name: Veldhuis, Raymond
last_name: Veldhuis
- first_name: Raghavendra
full_name: Ramachandra, Raghavendra
last_name: Ramachandra
- first_name: Kiran
full_name: Raja, Kiran
last_name: Raja
citation:
ama: 'Bora RP, Terhörst P, Veldhuis R, Ramachandra R, Raja K. CoFE: Consistency-Driven
Feature Elimination for eXplainable AI. In: Lecture Notes in Computer Science.
Springer Nature Switzerland; 2024. doi:10.1007/978-3-031-78189-6_24'
apa: 'Bora, R. P., Terhörst, P., Veldhuis, R., Ramachandra, R., & Raja, K. (2024).
CoFE: Consistency-Driven Feature Elimination for eXplainable AI. In Lecture
Notes in Computer Science. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-78189-6_24'
bibtex: '@inbook{Bora_Terhörst_Veldhuis_Ramachandra_Raja_2024, place={Cham}, title={CoFE:
Consistency-Driven Feature Elimination for eXplainable AI}, DOI={10.1007/978-3-031-78189-6_24},
booktitle={Lecture Notes in Computer Science}, publisher={Springer Nature Switzerland},
author={Bora, Revoti Prasad and Terhörst, Philipp and Veldhuis, Raymond and Ramachandra,
Raghavendra and Raja, Kiran}, year={2024} }'
chicago: 'Bora, Revoti Prasad, Philipp Terhörst, Raymond Veldhuis, Raghavendra Ramachandra,
and Kiran Raja. “CoFE: Consistency-Driven Feature Elimination for EXplainable
AI.” In Lecture Notes in Computer Science. Cham: Springer Nature Switzerland,
2024. https://doi.org/10.1007/978-3-031-78189-6_24.'
ieee: 'R. P. Bora, P. Terhörst, R. Veldhuis, R. Ramachandra, and K. Raja, “CoFE:
Consistency-Driven Feature Elimination for eXplainable AI,” in Lecture Notes
in Computer Science, Cham: Springer Nature Switzerland, 2024.'
mla: 'Bora, Revoti Prasad, et al. “CoFE: Consistency-Driven Feature Elimination
for EXplainable AI.” Lecture Notes in Computer Science, Springer Nature
Switzerland, 2024, doi:10.1007/978-3-031-78189-6_24.'
short: 'R.P. Bora, P. Terhörst, R. Veldhuis, R. Ramachandra, K. Raja, in: Lecture
Notes in Computer Science, Springer Nature Switzerland, Cham, 2024.'
date_created: 2026-02-18T09:38:20Z
date_updated: 2026-02-19T07:51:43Z
doi: 10.1007/978-3-031-78189-6_24
language:
- iso: eng
place: Cham
publication: Lecture Notes in Computer Science
publication_identifier:
isbn:
- '9783031781889'
- '9783031781896'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: 'CoFE: Consistency-Driven Feature Elimination for eXplainable AI'
type: book_chapter
user_id: '97123'
year: '2024'
...
---
_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: Artificial Intelligence in HCI.
Springer Nature Switzerland; 2024. doi:10.1007/978-3-031-60606-9_14'
apa: 'Papenkordt, J. (2024). Navigating Transparency: The Influence of On-demand
Explanations on Non-expert User Interaction with AI. In Artificial Intelligence
in HCI. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-60606-9_14'
bibtex: '@inbook{Papenkordt_2024, place={Cham}, title={Navigating Transparency:
The Influence of On-demand Explanations on Non-expert User Interaction with AI},
DOI={10.1007/978-3-031-60606-9_14},
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 Artificial Intelligence
in HCI. Cham: Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-60606-9_14.'
ieee: 'J. Papenkordt, “Navigating Transparency: The Influence of On-demand Explanations
on Non-expert User Interaction with AI,” in Artificial Intelligence in HCI,
Cham: Springer Nature Switzerland, 2024.'
mla: 'Papenkordt, Jörg. “Navigating Transparency: The Influence of On-Demand Explanations
on Non-Expert User Interaction with AI.” Artificial Intelligence in HCI,
Springer Nature Switzerland, 2024, doi:10.1007/978-3-031-60606-9_14.'
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: Lecture Notes
in Computer Science. Springer Nature Switzerland; 2024. doi:10.1007/978-3-031-70365-2_12'
apa: Karalis, N., Bigerl, A., Demir, C., Heidrich, L., & Ngonga Ngomo, A.-C.
(2024). Evaluating Negation with Multi-way Joins Accelerates Class Expression
Learning. In Lecture Notes in Computer Science. Springer Nature Switzerland.
https://doi.org/10.1007/978-3-031-70365-2_12
bibtex: '@inbook{Karalis_Bigerl_Demir_Heidrich_Ngonga Ngomo_2024, place={Cham},
title={Evaluating Negation with Multi-way Joins Accelerates Class Expression Learning},
DOI={10.1007/978-3-031-70365-2_12},
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 Lecture Notes in Computer Science. Cham:
Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-70365-2_12.'
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 Lecture
Notes in Computer Science, Cham: Springer Nature Switzerland, 2024.'
mla: Karalis, Nikolaos, et al. “Evaluating Negation with Multi-Way Joins Accelerates
Class Expression Learning.” Lecture Notes in Computer Science, Springer
Nature Switzerland, 2024, doi:10.1007/978-3-031-70365-2_12.
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: Lecture Notes in Computer Science. Springer Nature Switzerland; 2024.
doi:10.1007/978-3-031-77844-5_12'
apa: 'Becker, A., Sherif, M., & Ngonga Ngomo, A.-C. (2024). Blink: Blank Node
Matching Using Embeddings. In Lecture Notes in Computer Science. ISWC 2024: :
The 23ed International Semantic Web Conference, Baltimore, USA. Springer Nature
Switzerland. https://doi.org/10.1007/978-3-031-77844-5_12'
bibtex: '@inbook{Becker_Sherif_Ngonga Ngomo_2024, place={Cham}, title={Blink: Blank
Node Matching Using Embeddings}, DOI={10.1007/978-3-031-77844-5_12},
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 Lecture Notes in Computer Science.
Cham: Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-77844-5_12.'
ieee: 'A. Becker, M. Sherif, and A.-C. Ngonga Ngomo, “Blink: Blank Node Matching
Using Embeddings,” in Lecture Notes in Computer Science, Cham: Springer
Nature Switzerland, 2024.'
mla: 'Becker, Alexander, et al. “Blink: Blank Node Matching Using Embeddings.” Lecture
Notes in Computer Science, Springer Nature Switzerland, 2024, doi:10.1007/978-3-031-77844-5_12.'
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: Lecture
Notes in Computer Science. Springer Nature Switzerland; 2024. doi:10.1007/978-3-031-69766-1_9'
apa: Meyer, M., Kenter, T., Petrica, L., O’Brien, K., Blott, M., & Plessl, C.
(2024). Optimizing Communication for Latency Sensitive HPC Applications on up
to 48 FPGAs Using ACCL. In Lecture Notes in Computer Science. Springer
Nature Switzerland. https://doi.org/10.1007/978-3-031-69766-1_9
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={10.1007/978-3-031-69766-1_9},
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 Lecture Notes in Computer Science.
Cham: Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-69766-1_9.'
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 Lecture Notes in Computer Science, Cham: Springer Nature Switzerland,
2024.'
mla: Meyer, Marius, et al. “Optimizing Communication for Latency Sensitive HPC Applications
on up to 48 FPGAs Using ACCL.” Lecture Notes in Computer Science, Springer
Nature Switzerland, 2024, doi:10.1007/978-3-031-69766-1_9.
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: AbstractSince its inception two decades ago,
Soot 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 Soot
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 SootUp,
a complete reimplementation of Soot that seeks to fulfill these
requirements with a novel design, while at the same time keeping elements that
Soot users have grown accustomed to.
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: Tools and Algorithms for the Construction and Analysis
of Systems. Springer Nature Switzerland; 2024. doi:10.1007/978-3-031-57246-3_13'
apa: 'Karakaya, K., Schott, S., Klauke, J., Bodden, E., Schmidt, M., Luo, L., &
He, D. (2024). SootUp: A Redesign of the Soot Static Analysis Framework. In Tools
and Algorithms for the Construction and Analysis of Systems. Springer Nature
Switzerland. https://doi.org/10.1007/978-3-031-57246-3_13'
bibtex: '@inbook{Karakaya_Schott_Klauke_Bodden_Schmidt_Luo_He_2024, place={Cham},
title={SootUp: A Redesign of the Soot Static Analysis Framework}, DOI={10.1007/978-3-031-57246-3_13},
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 Tools and Algorithms for the Construction and Analysis of Systems. Cham:
Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-57246-3_13.'
ieee: 'K. Karakaya et al., “SootUp: A Redesign of the Soot Static Analysis
Framework,” in Tools and Algorithms for the Construction and Analysis of Systems,
Cham: Springer Nature Switzerland, 2024.'
mla: 'Karakaya, Kadiray, et al. “SootUp: A Redesign of the Soot Static Analysis
Framework.” Tools and Algorithms for the Construction and Analysis of Systems,
Springer Nature Switzerland, 2024, doi:10.1007/978-3-031-57246-3_13.'
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.
Artificial Intelligence in HCI. Published online 2023. doi:10.1007/978-3-031-35891-3_7
apa: Kornowicz, J., & Thommes, K. (2023). Aggregating Human Domain Knowledge
for Feature Ranking. Artificial Intelligence in HCI. https://doi.org/10.1007/978-3-031-35891-3_7
bibtex: '@article{Kornowicz_Thommes_2023, title={Aggregating Human Domain Knowledge
for Feature Ranking}, DOI={10.1007/978-3-031-35891-3_7},
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.” Artificial Intelligence in HCI, 2023. https://doi.org/10.1007/978-3-031-35891-3_7.
ieee: 'J. Kornowicz and K. Thommes, “Aggregating Human Domain Knowledge for Feature
Ranking,” Artificial Intelligence in HCI, 2023, doi: 10.1007/978-3-031-35891-3_7.'
mla: Kornowicz, Jaroslaw, and Kirsten Thommes. “Aggregating Human Domain Knowledge
for Feature Ranking.” Artificial Intelligence in HCI, Springer Nature Switzerland,
2023, doi:10.1007/978-3-031-35891-3_7.
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.
The Semantic Web – ISWC 2023. Vol 14265. Lecture Notes in Computer Science.
Springer, Cham; 2023:465–483. doi:10.1007/978-3-031-47240-4_25'
apa: 'Qudus, U., Röder, M., Kirrane, S., & 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, &
J. Li (Eds.), The Semantic Web – ISWC 2023 (Vol. 14265, pp. 465–483). Springer,
Cham. https://doi.org/10.1007/978-3-031-47240-4_25'
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={10.1007/978-3-031-47240-4_25},
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 The Semantic Web – ISWC 2023, 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. https://doi.org/10.1007/978-3-031-47240-4_25.'
ieee: 'U. Qudus, M. Röder, S. Kirrane, and A.-C. N. Ngomo, “TemporalFC: A Temporal
Fact Checking Approach over Knowledge Graphs,” in The Semantic Web – ISWC 2023,
Athens, Greece, 2023, vol. 14265, pp. 465–483, doi: 10.1007/978-3-031-47240-4_25.'
mla: 'Qudus, Umair, et al. “TemporalFC: A Temporal Fact Checking Approach over Knowledge
Graphs.” The Semantic Web – ISWC 2023, edited by Terry R. Payne et al.,
vol. 14265, Springer, Cham, 2023, pp. 465–483, doi:10.1007/978-3-031-47240-4_25.'
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
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: 26th International Conference on Discovery Science .
Vol 14050. Lecture Notes in Computer Science. Springer Nature Switzerland; 2023:189-203.
doi:10.1007/978-3-031-45275-8_13'
apa: Hanselle, J. M., Fürnkranz, J., & Hüllermeier, E. (2023). Probabilistic
Scoring Lists for Interpretable Machine Learning. 26th International Conference
on Discovery Science , 14050, 189–203. https://doi.org/10.1007/978-3-031-45275-8_13
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={10.1007/978-3-031-45275-8_13},
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 26th International Conference
on Discovery Science , 14050:189–203. Lecture Notes in Computer Science. Cham:
Springer Nature Switzerland, 2023. https://doi.org/10.1007/978-3-031-45275-8_13.'
ieee: 'J. M. Hanselle, J. Fürnkranz, and E. Hüllermeier, “Probabilistic Scoring
Lists for Interpretable Machine Learning,” in 26th International Conference
on Discovery Science , Porto, 2023, vol. 14050, pp. 189–203, doi: 10.1007/978-3-031-45275-8_13.'
mla: Hanselle, Jonas Manuel, et al. “Probabilistic Scoring Lists for Interpretable
Machine Learning.” 26th International Conference on Discovery Science ,
vol. 14050, Springer Nature Switzerland, 2023, pp. 189–203, doi:10.1007/978-3-031-45275-8_13.
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: Machine Learning and Knowledge Discovery in Databases:
Research Track. Springer Nature Switzerland; 2023. doi:10.1007/978-3-031-43421-1_12'
apa: 'Kouagou, N. J., Heindorf, S., Demir, C., & Ngonga Ngomo, A.-C. (2023).
Neural Class Expression Synthesis in ALCHIQ(D). In Machine Learning and Knowledge
Discovery in Databases: Research Track. European Conference on Machine Learning
and Principles and Practice of Knowledge Discovery in Databases, Turin. Springer
Nature Switzerland. https://doi.org/10.1007/978-3-031-43421-1_12'
bibtex: '@inbook{Kouagou_Heindorf_Demir_Ngonga Ngomo_2023, place={Cham}, title={Neural
Class Expression Synthesis in ALCHIQ(D)}, DOI={10.1007/978-3-031-43421-1_12},
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 Machine Learning
and Knowledge Discovery in Databases: Research Track. Cham: Springer Nature
Switzerland, 2023. https://doi.org/10.1007/978-3-031-43421-1_12.'
ieee: 'N. J. Kouagou, S. Heindorf, C. Demir, and A.-C. Ngonga Ngomo, “Neural Class
Expression Synthesis in ALCHIQ(D),” in Machine Learning and Knowledge Discovery
in Databases: Research Track, Cham: Springer Nature Switzerland, 2023.'
mla: 'Kouagou, N’Dah Jean, et al. “Neural Class Expression Synthesis in ALCHIQ(D).”
Machine Learning and Knowledge Discovery in Databases: Research Track,
Springer Nature Switzerland, 2023, doi:10.1007/978-3-031-43421-1_12.'
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: Natural Language
Processing and Information Systems. Springer Nature Switzerland; 2023. doi:10.1007/978-3-031-35320-8_9'
apa: Ahmed, A. F. A., Firmansyah, A. F., Sherif, M., Moussallem, D., & Ngonga
Ngomo, A.-C. (2023). Explainable Integration of Knowledge Graphs Using Large Language
Models. In Natural Language Processing and Information Systems. Springer
Nature Switzerland. https://doi.org/10.1007/978-3-031-35320-8_9
bibtex: '@inbook{Ahmed_Firmansyah_Sherif_Moussallem_Ngonga Ngomo_2023, place={Cham},
title={Explainable Integration of Knowledge Graphs Using Large Language Models},
DOI={10.1007/978-3-031-35320-8_9},
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 Natural Language Processing and Information
Systems. Cham: Springer Nature Switzerland, 2023. https://doi.org/10.1007/978-3-031-35320-8_9.'
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 Natural Language Processing and Information Systems, Cham: Springer
Nature Switzerland, 2023.'
mla: Ahmed, Abdullah Fathi Ahmed, et al. “Explainable Integration of Knowledge Graphs
Using Large Language Models.” Natural Language Processing and Information Systems,
Springer Nature Switzerland, 2023, doi:10.1007/978-3-031-35320-8_9.
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'
...