[{"publication_identifier":{"isbn":["9783031606052","9783031606069"],"issn":["0302-9743","1611-3349"]},"publication_status":"published","place":"Cham","year":"2024","citation":{"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.","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>","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>.","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} }","short":"J. Papenkordt, in: Artificial Intelligence in HCI, Springer Nature Switzerland, Cham, 2024.","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>"},"publisher":"Springer Nature Switzerland","date_updated":"2024-11-20T09:44:59Z","date_created":"2024-06-05T10:52:08Z","author":[{"first_name":"Jörg","id":"44648","full_name":"Papenkordt, Jörg","last_name":"Papenkordt"}],"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","publication":"Artificial Intelligence in HCI","type":"book_chapter","status":"public","_id":"54623","project":[{"_id":"810","name":"arbeitswelt + - KI für die Arbeitswelt des industriellen Mittelstands"}],"department":[{"_id":"178"},{"_id":"184"}],"user_id":"72497","language":[{"iso":"eng"}]},{"language":[{"iso":"eng"}],"_id":"57323","department":[{"_id":"574"}],"user_id":"84532","status":"public","publication":"Lecture Notes in Computer Science","type":"book_chapter","title":"Evaluating Negation with Multi-way Joins Accelerates Class Expression Learning","doi":"10.1007/978-3-031-70365-2_12","date_updated":"2024-11-22T10:31:34Z","publisher":"Springer Nature Switzerland","author":[{"full_name":"Karalis, Nikolaos","last_name":"Karalis","first_name":"Nikolaos"},{"last_name":"Bigerl","full_name":"Bigerl, Alexander","first_name":"Alexander"},{"first_name":"Caglar","full_name":"Demir, Caglar","last_name":"Demir"},{"first_name":"Liss","last_name":"Heidrich","full_name":"Heidrich, Liss"},{"first_name":"Axel-Cyrille","full_name":"Ngonga Ngomo, Axel-Cyrille","last_name":"Ngonga Ngomo"}],"date_created":"2024-11-22T09:45:01Z","place":"Cham","year":"2024","citation":{"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>","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.","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.","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>"},"publication_identifier":{"issn":["0302-9743","1611-3349"],"isbn":["9783031703645","9783031703652"]},"publication_status":"published"},{"project":[{"name":"SAIL - Nachhaltiger Lebenszyklus von intelligenten soziotechnischen Systemen","_id":"285"}],"_id":"61210","user_id":"67234","department":[{"_id":"574"}],"status":"public","type":"book_chapter","main_file_link":[{"url":"https://papers.dice-research.org/2024/ISWC_BLINK/public.pdf"}],"doi":"10.1007/978-3-031-77844-5_12","conference":{"end_date":"2024-11-15","location":"Baltimore, USA","name":"ISWC 2024: : The 23ed International Semantic Web Conference","start_date":"2024-11-11"},"date_updated":"2025-09-11T10:34:02Z","author":[{"first_name":"Alexander","last_name":"Becker","full_name":"Becker, Alexander"},{"first_name":"Mohamed","id":"67234","full_name":"Sherif, Mohamed","last_name":"Sherif","orcid":"https://orcid.org/0000-0002-9927-2203"},{"full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716","last_name":"Ngonga Ngomo","first_name":"Axel-Cyrille"}],"place":"Cham","citation":{"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>","short":"A. Becker, M. Sherif, A.-C. Ngonga Ngomo, in: Lecture Notes in Computer Science, Springer Nature Switzerland, Cham, 2024.","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} }","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>.","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.","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>"},"publication_status":"published","publication_identifier":{"issn":["0302-9743","1611-3349"],"isbn":["9783031778438","9783031778445"]},"language":[{"iso":"eng"}],"abstract":[{"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.","lang":"eng"}],"publication":"Lecture Notes in Computer Science","title":"Blink: Blank Node Matching Using Embeddings","publisher":"Springer Nature Switzerland","date_created":"2025-09-11T10:19:47Z","year":"2024"},{"publication_identifier":{"isbn":["9783031697654","9783031697661"],"issn":["0302-9743","1611-3349"]},"publication_status":"published","citation":{"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>","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>.","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} }","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.","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.","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>.","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>"},"place":"Cham","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","last_name":"Petrica","full_name":"Petrica, Lucian"},{"last_name":"O’Brien","full_name":"O’Brien, Kenneth","first_name":"Kenneth"},{"last_name":"Blott","full_name":"Blott, Michaela","first_name":"Michaela"},{"last_name":"Plessl","orcid":"0000-0001-5728-9982","full_name":"Plessl, Christian","id":"16153","first_name":"Christian"}],"oa":"1","date_updated":"2025-11-04T09:51:22Z","doi":"10.1007/978-3-031-69766-1_9","main_file_link":[{"open_access":"1"}],"type":"book_chapter","status":"public","department":[{"_id":"27"},{"_id":"518"}],"user_id":"3145","_id":"62067","project":[{"name":"Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"quality_controlled":"1","year":"2024","date_created":"2025-11-04T09:50:24Z","publisher":"Springer Nature Switzerland","title":"Optimizing Communication for Latency Sensitive HPC Applications on up to 48 FPGAs Using ACCL","publication":"Lecture Notes in Computer Science","abstract":[{"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.","lang":"eng"}],"language":[{"iso":"eng"}]},{"date_updated":"2025-11-11T14:26:52Z","publisher":"Springer Nature Switzerland","author":[{"first_name":"Kadiray","full_name":"Karakaya, Kadiray","id":"70410","orcid":"https://orcid.org/0000-0001-9266-2084","last_name":"Karakaya"},{"last_name":"Schott","full_name":"Schott, Stefan","id":"54847","first_name":"Stefan"},{"last_name":"Klauke","orcid":"0000-0001-9160-9636","id":"40915","full_name":"Klauke, Jonas","first_name":"Jonas"},{"orcid":"0000-0003-3470-3647","last_name":"Bodden","id":"59256","full_name":"Bodden, Eric","first_name":"Eric"},{"full_name":"Schmidt, Markus","last_name":"Schmidt","first_name":"Markus"},{"last_name":"Luo","full_name":"Luo, Linghui","first_name":"Linghui"},{"first_name":"Dongjie","full_name":"He, Dongjie","last_name":"He"}],"date_created":"2024-05-06T11:29:36Z","title":"SootUp: A Redesign of the Soot Static Analysis Framework","doi":"10.1007/978-3-031-57246-3_13","publication_status":"published","publication_identifier":{"issn":["0302-9743","1611-3349"],"isbn":["9783031572456","9783031572463"]},"year":"2024","place":"Cham","citation":{"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.","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>.","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} }","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.","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>."},"project":[{"name":"Reaktor: SFB 901 - Automatisierte Risikoanalyse in Bezug auf Open-Source-Abhängigkeiten (Hektor) (Transferproject T3)","_id":"107"},{"name":"HEKTOR: Automatisierte Risikoanalyse unter Berücksichtigung von Open-Source-Abhängigkeiten","_id":"668"},{"name":"SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen in dynamischen Märkten","_id":"1"},{"_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)"}],"_id":"53942","user_id":"477","department":[{"_id":"76"}],"language":[{"iso":"eng"}],"type":"book_chapter","publication":"Tools and Algorithms for the Construction and Analysis of Systems","abstract":[{"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>","lang":"eng"}],"status":"public"},{"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>","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>.","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} }","short":"J. Kornowicz, K. Thommes, Artificial Intelligence in HCI (2023).","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>"},"year":"2023","publication_status":"published","publication_identifier":{"issn":["0302-9743","1611-3349"],"isbn":["9783031358906","9783031358913"]},"doi":"10.1007/978-3-031-35891-3_7","title":"Aggregating Human Domain Knowledge for Feature Ranking","author":[{"first_name":"Jaroslaw","last_name":"Kornowicz","id":"44029","full_name":"Kornowicz, Jaroslaw"},{"first_name":"Kirsten","last_name":"Thommes","full_name":"Thommes, Kirsten","id":"72497"}],"date_created":"2023-10-11T08:01:00Z","publisher":"Springer Nature Switzerland","date_updated":"2023-12-05T10:15:37Z","status":"public","type":"journal_article","publication":"Artificial Intelligence in HCI","language":[{"iso":"eng"}],"user_id":"42933","department":[{"_id":"184"},{"_id":"178"}],"project":[{"_id":"125","name":"TRR 318 - C2: TRR 318 - Subproject C2"}],"_id":"47953"},{"year":"2023","title":"TemporalFC: A Temporal Fact Checking Approach over Knowledge Graphs","publisher":"Springer, Cham","date_created":"2024-01-13T11:22:15Z","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."}],"file":[{"file_name":"ISWC 2023 TemporalFC-A Temporal Fact Checking approach over Knowledge Graphs.pdf","file_id":"50480","access_level":"closed","file_size":1944818,"creator":"uqudus","date_created":"2024-01-13T11:25:48Z","date_updated":"2024-01-13T11:25:48Z","relation":"main_file","success":1,"content_type":"application/pdf"}],"publication":"The Semantic Web – ISWC 2023","keyword":["temporal fact checking · ensemble learning · transfer learning · time-point prediction · temporal knowledge graphs"],"ddc":["006"],"language":[{"iso":"eng"}],"place":"Cham","intvolume":"     14265","page":"465–483","citation":{"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} }","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.","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>.","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>.","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>"},"jel":["C"],"has_accepted_license":"1","publication_identifier":{"isbn":["9783031472398","9783031472404"],"issn":["0302-9743","1611-3349"]},"publication_status":"published","doi":"10.1007/978-3-031-47240-4_25","conference":{"location":"Athens, Greece","end_date":"2023-11-10","start_date":"2023-11-06","name":"The Semantic Web – ISWC 2023"},"date_updated":"2024-01-13T11:48:28Z","volume":14265,"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"},{"full_name":"Ngomo, Axel-Cyrille Ngonga","last_name":"Ngomo","first_name":"Axel-Cyrille Ngonga"}],"editor":[{"first_name":"Terry","full_name":"R. Payne, Terry","last_name":"R. Payne"},{"first_name":"Valentina","full_name":"Presutti, Valentina","last_name":"Presutti"},{"last_name":"Qi","full_name":"Qi, Guilin","first_name":"Guilin"},{"first_name":"María","full_name":"Poveda-Villalón, María","last_name":"Poveda-Villalón"},{"last_name":"Stoilos","full_name":"Stoilos, Giorgos","first_name":"Giorgos"},{"first_name":"Laura","full_name":"Hollink, Laura","last_name":"Hollink"},{"full_name":"Kaoudi, Zoi","last_name":"Kaoudi","first_name":"Zoi"},{"full_name":"Cheng, Gong","last_name":"Cheng","first_name":"Gong"},{"first_name":"Juanzi","last_name":"Li","full_name":"Li, Juanzi"}],"status":"public","type":"conference","file_date_updated":"2024-01-13T11:25:48Z","_id":"50479","project":[{"grant_number":"860801","_id":"410","name":"KnowGraphs: KnowGraphs: Knowledge Graphs at Scale"}],"department":[{"_id":"34"}],"series_title":" Lecture Notes in Computer Science","user_id":"83392"},{"publication":"26th International Conference on Discovery Science ","type":"conference","status":"public","user_id":"54779","series_title":"Lecture Notes in Computer Science","_id":"51373","language":[{"iso":"eng"}],"publication_identifier":{"issn":["0302-9743","1611-3349"],"isbn":["9783031452741","9783031452758"]},"publication_status":"published","page":"189-203","intvolume":"     14050","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>","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>.","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>.","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} }","short":"J.M. Hanselle, J. Fürnkranz, E. Hüllermeier, in: 26th International Conference on Discovery Science , Springer Nature Switzerland, Cham, 2023, pp. 189–203.","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>."},"year":"2023","place":"Cham","volume":14050,"author":[{"orcid":"0000-0002-1231-4985","last_name":"Hanselle","full_name":"Hanselle, Jonas Manuel","id":"43980","first_name":"Jonas Manuel"},{"full_name":"Fürnkranz, Johannes","last_name":"Fürnkranz","first_name":"Johannes"},{"first_name":"Eyke","full_name":"Hüllermeier, Eyke","id":"48129","last_name":"Hüllermeier"}],"date_created":"2024-02-18T11:05:55Z","date_updated":"2024-02-26T08:41:49Z","publisher":"Springer Nature Switzerland","doi":"10.1007/978-3-031-45275-8_13","conference":{"start_date":"2023-10-9","name":"26th International Conference on Discovery Science ","location":"Porto","end_date":"2021-10-11"},"title":"Probabilistic Scoring Lists for Interpretable Machine Learning"},{"publication_identifier":{"isbn":["9783031434204","9783031434211"],"issn":["0302-9743","1611-3349"]},"has_accepted_license":"1","publication_status":"published","place":"Cham","citation":{"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>.","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} }","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.","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>","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.","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>.","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>"},"oa":"1","date_updated":"2024-05-22T10:48:24Z","author":[{"first_name":"N'Dah Jean","last_name":"Kouagou","id":"87189","full_name":"Kouagou, N'Dah Jean"},{"last_name":"Heindorf","orcid":"0000-0002-4525-6865","id":"11871","full_name":"Heindorf, Stefan","first_name":"Stefan"},{"last_name":"Demir","full_name":"Demir, Caglar","id":"43817","first_name":"Caglar"},{"last_name":"Ngonga Ngomo","id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille","first_name":"Axel-Cyrille"}],"doi":"10.1007/978-3-031-43421-1_12","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"},"main_file_link":[{"open_access":"1","url":"https://papers.dice-research.org/2023/ECML_NCES2/NCES2_public.pdf"}],"type":"book_chapter","status":"public","_id":"47421","department":[{"_id":"760"},{"_id":"574"}],"user_id":"11871","file_date_updated":"2024-05-22T10:46:58Z","year":"2023","publisher":"Springer Nature Switzerland","date_created":"2023-09-25T13:42:01Z","title":"Neural Class Expression Synthesis in ALCHIQ(D)","publication":"Machine Learning and Knowledge Discovery in Databases: Research Track","abstract":[{"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.","lang":"eng"}],"file":[{"creator":"heindorf","date_created":"2024-05-22T10:45:08Z","date_updated":"2024-05-22T10:46:58Z","file_name":"NCES2_public.pdf","access_level":"open_access","file_id":"54417","file_size":432708,"content_type":"application/pdf","relation":"main_file"}],"ddc":["000"],"language":[{"iso":"eng"}]},{"type":"book_chapter","publication":"Natural Language Processing and Information Systems","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."}],"status":"public","_id":"46516","user_id":"76787","department":[{"_id":"34"},{"_id":"574"}],"language":[{"iso":"eng"}],"publication_status":"published","publication_identifier":{"issn":["0302-9743","1611-3349"],"isbn":["9783031353192","9783031353208"]},"year":"2023","place":"Cham","citation":{"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.","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>.","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>","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>.","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} }","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.","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>"},"date_updated":"2024-06-04T12:23:45Z","publisher":"Springer Nature Switzerland","author":[{"first_name":"Abdullah Fathi Ahmed","last_name":"Ahmed","id":"29670","full_name":"Ahmed, Abdullah Fathi Ahmed"},{"first_name":"Asep Fajar","full_name":"Firmansyah, Asep Fajar","id":"76787","last_name":"Firmansyah"},{"first_name":"Mohamed","full_name":"Sherif, Mohamed","id":"67234","orcid":"https://orcid.org/0000-0002-9927-2203","last_name":"Sherif"},{"first_name":"Diego","id":"71635","full_name":"Moussallem, Diego","last_name":"Moussallem"},{"full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716","last_name":"Ngonga Ngomo","first_name":"Axel-Cyrille"}],"date_created":"2023-08-16T08:57:11Z","title":"Explainable Integration of Knowledge Graphs Using Large Language Models","doi":"10.1007/978-3-031-35320-8_9"},{"user_id":"99353","department":[{"_id":"574"}],"_id":"54579","language":[{"iso":"eng"}],"type":"book_chapter","publication":"Logic, Language, Information, and Computation","status":"public","author":[{"id":"99353","full_name":"Mahmood, Yasir","last_name":"Mahmood","first_name":"Yasir"},{"first_name":"Jonni","last_name":"Virtema","full_name":"Virtema, Jonni"}],"date_created":"2024-06-04T09:59:47Z","date_updated":"2024-06-04T15:52:48Z","publisher":"Springer Nature Switzerland","doi":"10.1007/978-3-031-39784-4_17","title":"Parameterized Complexity of Propositional Inclusion and Independence Logic","publication_status":"published","publication_identifier":{"issn":["0302-9743","1611-3349"],"isbn":["9783031397837","9783031397844"]},"citation":{"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.","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>","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} }","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.","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>"},"place":"Cham","year":"2023"},{"publisher":"Springer Nature Switzerland","date_updated":"2024-06-26T14:25:50Z","date_created":"2024-06-26T14:24:29Z","author":[{"full_name":"Hanselle, Jonas Manuel","id":"43980","orcid":"0000-0002-1231-4985","last_name":"Hanselle","first_name":"Jonas Manuel"},{"first_name":"Johannes","last_name":"Fürnkranz","full_name":"Fürnkranz, Johannes"},{"full_name":"Hüllermeier, Eyke","id":"48129","last_name":"Hüllermeier","first_name":"Eyke"}],"title":"Probabilistic Scoring Lists for Interpretable Machine Learning","doi":"10.1007/978-3-031-45275-8_13","publication_status":"published","publication_identifier":{"issn":["0302-9743","1611-3349"],"isbn":["9783031452741","9783031452758"]},"year":"2023","place":"Cham","citation":{"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.","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} }","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>","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.","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>."},"project":[{"_id":"125","name":"TRR 318 - C2: TRR 318 - Subproject C2"}],"_id":"54909","user_id":"72497","department":[{"_id":"660"}],"language":[{"iso":"eng"}],"type":"book_chapter","publication":"Discovery Science","status":"public"},{"language":[{"iso":"eng"}],"_id":"43395","user_id":"8472","department":[{"_id":"241"},{"_id":"662"}],"status":"public","type":"conference","publication":"REFSQ 2023: Requirements Engineering: Foundation for Software Quality","title":"Eliciting Security Requirements – An Experience Report","doi":"10.1007/978-3-031-29786-1_25","publisher":"Springer Nature Switzerland","date_updated":"2023-04-04T12:51:41Z","author":[{"full_name":"Trentinaglia, Roman","id":"49934","orcid":"0000-0001-9728-4991","last_name":"Trentinaglia","first_name":"Roman"},{"last_name":"Merschjohann","id":"11394","full_name":"Merschjohann, Sven","first_name":"Sven"},{"full_name":"Fockel, Markus","id":"8472","last_name":"Fockel","orcid":"0000-0002-1269-0702","first_name":"Markus"},{"id":"29279","full_name":"Eikerling, Hendrik","last_name":"Eikerling","first_name":"Hendrik"}],"date_created":"2023-04-04T12:47:31Z","place":"Cham","year":"2023","citation":{"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>","short":"R. Trentinaglia, S. Merschjohann, M. Fockel, H. Eikerling, in: REFSQ 2023: Requirements Engineering: Foundation for Software Quality, Springer Nature Switzerland, Cham, 2023.","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} }","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>.","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>","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>.","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>."},"publication_status":"published","publication_identifier":{"issn":["0302-9743","1611-3349"],"isbn":["9783031297854","9783031297861"]}},{"place":"Cham","year":"2023","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>","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.","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>.","short":"J. Castenow, J. Harbig, F. Meyer auf der Heide, in: Lecture Notes in Computer Science, Springer International Publishing, Cham, 2023.","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} }","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>.","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>"},"publication_status":"published","publication_identifier":{"issn":["0302-9743","1611-3349"],"isbn":["9783031304477","9783031304484"]},"title":"Unifying Gathering Protocols for Swarms of Mobile Robots","doi":"10.1007/978-3-031-30448-4_1","publisher":"Springer International Publishing","date_updated":"2023-05-11T13:14:43Z","date_created":"2023-05-11T13:13:45Z","author":[{"last_name":"Castenow","id":"38705","full_name":"Castenow, Jannik","first_name":"Jannik"},{"last_name":"Harbig","full_name":"Harbig, Jonas","id":"47213","first_name":"Jonas"},{"first_name":"Friedhelm","full_name":"Meyer auf der Heide, Friedhelm","id":"15523","last_name":"Meyer auf der Heide"}],"status":"public","type":"book_chapter","publication":"Lecture Notes in Computer Science","language":[{"iso":"eng"}],"project":[{"_id":"106","name":"Algorithmen für Schwarmrobotik: Verteiltes Rechnen trifft Dynamische Systeme"}],"_id":"44769","user_id":"38705","department":[{"_id":"63"}]},{"publication_identifier":{"isbn":["9783031436116","9783031436123"],"issn":["0302-9743","1611-3349"]},"has_accepted_license":"1","publication_status":"published","place":"Cham","year":"2023","citation":{"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.","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} }","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>","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>","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.","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>."},"publisher":"Springer Nature Switzerland","date_updated":"2023-09-07T17:52:46Z","author":[{"last_name":"Dieter","id":"88592","full_name":"Dieter, Peter","first_name":"Peter"}],"date_created":"2023-09-07T17:46:08Z","title":"A Regret Policy for the Dynamic Vehicle Routing Problem with Time Windows","doi":"10.1007/978-3-031-43612-3_14","publication":"Lecture Notes in Computer Science","type":"book_chapter","status":"public","_id":"46867","department":[{"_id":"277"}],"user_id":"51811","ddc":["000"],"language":[{"iso":"eng"}]},{"date_updated":"2025-01-22T15:39:20Z","publisher":"Springer Nature Switzerland","author":[{"first_name":"Sandeep","last_name":"Babu","full_name":"Babu, Sandeep"},{"first_name":"Majid","full_name":"Jegarian, Majid","last_name":"Jegarian"},{"orcid":"0000-0002-0792-6370","last_name":"Fischer","id":"15357","full_name":"Fischer, Dirk","first_name":"Dirk"},{"first_name":"Bärbel","full_name":"Mertsching, Bärbel","last_name":"Mertsching"}],"date_created":"2024-11-19T10:29:32Z","title":"Fast 3D Semantic Segmentation Using a Self Attention Network and Random Sampling","doi":"10.1007/978-3-031-43360-3_21","publication_identifier":{"issn":["0302-9743","1611-3349"],"isbn":["9783031433597","9783031433603"]},"publication_status":"published","year":"2023","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>","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.","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>.","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>","short":"S. Babu, M. Jegarian, D. Fischer, B. Mertsching, in: Lecture Notes in Computer Science, Springer Nature Switzerland, 2023.","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} }","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>."},"_id":"57221","department":[{"_id":"50"}],"user_id":"15357","language":[{"iso":"eng"}],"publication":"Lecture Notes in Computer Science","type":"book_chapter","status":"public"},{"date_created":"2023-08-17T12:41:45Z","publisher":"Springer Nature Switzerland","title":"IndQNER: Named Entity Recognition Benchmark Dataset from the Indonesian Translation of the Quran","year":"2023","language":[{"iso":"eng"}],"keyword":["NER benchmark dataset","Indonesian","specific domain"],"publication":"Natural Language Processing and Information Systems","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","id":"76787","full_name":"Firmansyah, Asep Fajar","last_name":"Firmansyah"},{"last_name":"Moussallem","id":"71635","full_name":"Moussallem, Diego","first_name":"Diego"},{"first_name":"Axel-Cyrille","full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716","last_name":"Ngonga Ngomo"}],"date_updated":"2024-11-19T15:41:34Z","doi":"10.1007/978-3-031-35320-8_12","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"},"related_material":{"link":[{"url":"https://link.springer.com/chapter/10.1007/978-3-031-35320-8_12","relation":"confirmation"}]},"publication_identifier":{"isbn":["9783031353192","9783031353208"],"issn":["0302-9743","1611-3349"]},"publication_status":"published","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>","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.","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.","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>.","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} }","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>"},"place":"Cham","department":[{"_id":"34"},{"_id":"574"}],"user_id":"71039","_id":"46572","type":"book_chapter","status":"public"},{"language":[{"iso":"eng"}],"department":[{"_id":"888"}],"user_id":"15504","_id":"52859","status":"public","publication":"Logics in Artificial Intelligence","type":"book_chapter","doi":"10.1007/978-3-031-43619-2_36","title":"Deciding Subsumption in Defeasible 𝓔𝓛𝓘⊥ with Typicality Models","author":[{"first_name":"Igor","last_name":"de Camargo e Souza Câmara","full_name":"de Camargo e Souza Câmara, Igor"},{"id":"104470","full_name":"Turhan, Anni-Yasmin","last_name":"Turhan","first_name":"Anni-Yasmin"}],"date_created":"2024-03-25T13:56:30Z","date_updated":"2024-12-11T13:57:36Z","publisher":"Springer Nature Switzerland","citation":{"apa":"de Camargo e Souza Câmara, I., &#38; Turhan, A.-Y. (2023). Deciding Subsumption in Defeasible 𝓔𝓛𝓘⊥ 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 𝓔𝓛𝓘⊥ 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} }","short":"I. de Camargo e Souza Câmara, A.-Y. Turhan, in: Logics in Artificial Intelligence, Springer Nature Switzerland, Cham, 2023.","mla":"de Camargo e Souza Câmara, Igor, and Anni-Yasmin Turhan. “Deciding Subsumption in Defeasible 𝓔𝓛𝓘⊥ 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>.","ama":"de Camargo e Souza Câmara I, Turhan A-Y. Deciding Subsumption in Defeasible 𝓔𝓛𝓘⊥ 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>","chicago":"Camargo e Souza Câmara, Igor de, and Anni-Yasmin Turhan. “Deciding Subsumption in Defeasible 𝓔𝓛𝓘⊥ with Typicality Models.” In <i>Logics in Artificial Intelligence</i>. 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