[{"department":[{"_id":"76"}],"type":"book_chapter","place":"Cham","date_created":"2024-05-06T11:29:36Z","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"},{"name":"SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen in dynamischen Märkten","_id":"1"},{"name":"SFB 901; Projektbereich T: Transferprojekte des Sonderforschungsbereichs","_id":"82"},{"_id":"107","name":"SFB 901; TP T3: Automatisierte Risikoanalyse in Bezug auf Open-Source-Abhängigkeiten (Hektor)"}],"abstract":[{"lang":"eng","text":"<jats:title>Abstract</jats:title><jats:p>Since its inception two decades ago, <jats:sc>Soot</jats:sc> has become one of the most widely used open-source static analysis frameworks. Over time it has been extended with the contributions of countless researchers. Yet, at the same time, the requirements for <jats:sc>Soot</jats:sc> have changed over the years and become increasingly at odds with some of the major design decisions that underlie it. In this work, we thus present <jats:sc>SootUp</jats:sc>, a complete reimplementation of <jats:sc>Soot</jats:sc> that seeks to fulfill these requirements with a novel design, while at the same time keeping elements that <jats:sc>Soot</jats:sc> users have grown accustomed to.</jats:p>"}],"citation":{"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>.","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.","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>","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.","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>","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} }","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>."},"publication":"Tools and Algorithms for the Construction and Analysis of Systems","doi":"10.1007/978-3-031-57246-3_13","user_id":"477","language":[{"iso":"eng"}],"_id":"53942","publisher":"Springer Nature Switzerland","date_updated":"2025-11-11T14:26:52Z","publication_status":"published","publication_identifier":{"issn":["0302-9743","1611-3349"],"isbn":["9783031572456","9783031572463"]},"author":[{"id":"70410","first_name":"Kadiray","last_name":"Karakaya","orcid":"https://orcid.org/0000-0001-9266-2084","full_name":"Karakaya, Kadiray"},{"id":"54847","last_name":"Schott","first_name":"Stefan","full_name":"Schott, Stefan"},{"last_name":"Klauke","orcid":"0000-0001-9160-9636","first_name":"Jonas","full_name":"Klauke, Jonas","id":"40915"},{"last_name":"Bodden","orcid":"0000-0003-3470-3647","first_name":"Eric","full_name":"Bodden, Eric","id":"59256"},{"last_name":"Schmidt","first_name":"Markus","full_name":"Schmidt, Markus"},{"full_name":"Luo, Linghui","first_name":"Linghui","last_name":"Luo"},{"full_name":"He, Dongjie","first_name":"Dongjie","last_name":"He"}],"title":"SootUp: A Redesign of the Soot Static Analysis Framework","status":"public","year":"2024"},{"publication_status":"published","date_updated":"2024-11-20T09:44:59Z","year":"2024","title":"Navigating Transparency: The Influence of On-demand Explanations on Non-expert User Interaction with AI","status":"public","author":[{"id":"44648","last_name":"Papenkordt","first_name":"Jörg","full_name":"Papenkordt, Jörg"}],"publication_identifier":{"issn":["0302-9743","1611-3349"],"isbn":["9783031606052","9783031606069"]},"user_id":"72497","doi":"10.1007/978-3-031-60606-9_14","publisher":"Springer Nature Switzerland","_id":"54623","language":[{"iso":"eng"}],"project":[{"name":"arbeitswelt + - KI für die Arbeitswelt des industriellen Mittelstands","_id":"810"}],"publication":"Artificial Intelligence in HCI","citation":{"short":"J. Papenkordt, in: Artificial Intelligence in HCI, Springer Nature Switzerland, Cham, 2024.","chicago":"Papenkordt, Jörg. “Navigating Transparency: The Influence of On-Demand Explanations on Non-Expert User Interaction with AI.” In <i>Artificial Intelligence in HCI</i>. Cham: Springer Nature Switzerland, 2024. <a href=\"https://doi.org/10.1007/978-3-031-60606-9_14\">https://doi.org/10.1007/978-3-031-60606-9_14</a>.","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>","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>","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} }","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>."},"type":"book_chapter","department":[{"_id":"178"},{"_id":"184"}],"date_created":"2024-06-05T10:52:08Z","place":"Cham"},{"publisher":"Springer Nature Switzerland","_id":"57323","language":[{"iso":"eng"}],"doi":"10.1007/978-3-031-70365-2_12","user_id":"84532","publication_identifier":{"isbn":["9783031703645","9783031703652"],"issn":["0302-9743","1611-3349"]},"author":[{"full_name":"Karalis, Nikolaos","first_name":"Nikolaos","last_name":"Karalis"},{"last_name":"Bigerl","first_name":"Alexander","full_name":"Bigerl, Alexander"},{"last_name":"Demir","first_name":"Caglar","full_name":"Demir, Caglar"},{"last_name":"Heidrich","first_name":"Liss","full_name":"Heidrich, Liss"},{"full_name":"Ngonga Ngomo, Axel-Cyrille","first_name":"Axel-Cyrille","last_name":"Ngonga Ngomo"}],"status":"public","title":"Evaluating Negation with Multi-way Joins Accelerates Class Expression Learning","year":"2024","date_updated":"2024-11-22T10:31:34Z","publication_status":"published","place":"Cham","date_created":"2024-11-22T09:45:01Z","department":[{"_id":"574"}],"type":"book_chapter","citation":{"short":"N. Karalis, A. Bigerl, C. Demir, L. Heidrich, A.-C. Ngonga Ngomo, in: Lecture Notes in Computer Science, Springer Nature Switzerland, Cham, 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>.","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>","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>","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} }","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>."},"publication":"Lecture Notes in Computer Science"},{"citation":{"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} }","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>","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>.","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>","short":"J. Kornowicz, K. Thommes, Artificial Intelligence in HCI (2023).","chicago":"Kornowicz, Jaroslaw, and Kirsten Thommes. “Aggregating Human Domain Knowledge for Feature Ranking.” <i>Artificial Intelligence in HCI</i>, 2023. <a href=\"https://doi.org/10.1007/978-3-031-35891-3_7\">https://doi.org/10.1007/978-3-031-35891-3_7</a>."},"publication":"Artificial Intelligence in HCI","project":[{"name":"TRR 318 - C2: TRR 318 - Subproject C2","_id":"125"}],"date_created":"2023-10-11T08:01:00Z","department":[{"_id":"184"},{"_id":"178"}],"type":"journal_article","publication_identifier":{"issn":["0302-9743","1611-3349"],"isbn":["9783031358906","9783031358913"]},"author":[{"id":"44029","last_name":"Kornowicz","first_name":"Jaroslaw","full_name":"Kornowicz, Jaroslaw"},{"full_name":"Thommes, Kirsten","last_name":"Thommes","first_name":"Kirsten","id":"72497"}],"year":"2023","status":"public","title":"Aggregating Human Domain Knowledge for Feature Ranking","publication_status":"published","date_updated":"2023-12-05T10:15:37Z","language":[{"iso":"eng"}],"_id":"47953","publisher":"Springer Nature Switzerland","user_id":"42933","doi":"10.1007/978-3-031-35891-3_7"},{"series_title":" Lecture Notes in Computer Science","language":[{"iso":"eng"}],"doi":"10.1007/978-3-031-47240-4_25","author":[{"last_name":"Qudus","first_name":"Umair","full_name":"Qudus, Umair"},{"last_name":"Röder","first_name":"Michael","full_name":"Röder, Michael"},{"first_name":"Sabrina","last_name":"Kirrane","full_name":"Kirrane, Sabrina"},{"full_name":"Ngomo, Axel-Cyrille Ngonga","first_name":"Axel-Cyrille Ngonga","last_name":"Ngomo"}],"publication_identifier":{"isbn":["9783031472398","9783031472404"],"issn":["0302-9743","1611-3349"]},"title":"TemporalFC: A Temporal Fact Checking Approach over Knowledge Graphs","year":"2023","intvolume":"     14265","date_updated":"2024-01-13T11:48:28Z","publication_status":"published","date_created":"2024-01-13T11:22:15Z","file":[{"date_created":"2024-01-13T11:25:48Z","creator":"uqudus","file_id":"50480","success":1,"content_type":"application/pdf","relation":"main_file","date_updated":"2024-01-13T11:25:48Z","file_name":"ISWC 2023 TemporalFC-A Temporal Fact Checking approach over Knowledge Graphs.pdf","file_size":1944818,"access_level":"closed"}],"department":[{"_id":"34"}],"type":"conference","keyword":["temporal fact checking · ensemble learning · transfer learning · time-point prediction · temporal knowledge graphs"],"publication":"The Semantic Web – ISWC 2023","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."}],"publisher":"Springer, Cham","_id":"50479","page":"465–483","editor":[{"full_name":"R. Payne, Terry","last_name":"R. Payne","first_name":"Terry"},{"last_name":"Presutti","first_name":"Valentina","full_name":"Presutti, Valentina"},{"first_name":"Guilin","last_name":"Qi","full_name":"Qi, Guilin"},{"last_name":"Poveda-Villalón","first_name":"María","full_name":"Poveda-Villalón, María"},{"full_name":"Stoilos, Giorgos","last_name":"Stoilos","first_name":"Giorgos"},{"first_name":"Laura","last_name":"Hollink","full_name":"Hollink, Laura"},{"last_name":"Kaoudi","first_name":"Zoi","full_name":"Kaoudi, Zoi"},{"first_name":"Gong","last_name":"Cheng","full_name":"Cheng, Gong"},{"first_name":"Juanzi","last_name":"Li","full_name":"Li, Juanzi"}],"volume":14265,"ddc":["006"],"user_id":"83392","conference":{"location":"Athens, Greece","name":"The Semantic Web – ISWC 2023","start_date":"2023-11-06","end_date":"2023-11-10"},"jel":["C"],"status":"public","has_accepted_license":"1","place":"Cham","citation":{"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.","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>.","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} }","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>","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>."},"file_date_updated":"2024-01-13T11:25:48Z","project":[{"name":"KnowGraphs: KnowGraphs: Knowledge Graphs at Scale","grant_number":"860801","_id":"410"}]},{"place":"Cham","citation":{"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>.","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>","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} }","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>","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>.","short":"J.M. Hanselle, J. Fürnkranz, E. Hüllermeier, in: 26th International Conference on Discovery Science , Springer Nature Switzerland, Cham, 2023, pp. 189–203.","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>."},"page":"189-203","_id":"51373","publisher":"Springer Nature Switzerland","user_id":"54779","volume":14050,"status":"public","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","type":"conference","publication":"26th International Conference on Discovery Science ","language":[{"iso":"eng"}],"series_title":"Lecture Notes in Computer Science","doi":"10.1007/978-3-031-45275-8_13","year":"2023","title":"Probabilistic Scoring Lists for Interpretable Machine Learning","publication_identifier":{"issn":["0302-9743","1611-3349"],"isbn":["9783031452741","9783031452758"]},"author":[{"id":"43980","full_name":"Hanselle, Jonas Manuel","first_name":"Jonas Manuel","last_name":"Hanselle","orcid":"0000-0002-1231-4985"},{"first_name":"Johannes","last_name":"Fürnkranz","full_name":"Fürnkranz, Johannes"},{"full_name":"Hüllermeier, Eyke","first_name":"Eyke","last_name":"Hüllermeier","id":"48129"}],"publication_status":"published","date_updated":"2024-02-26T08:41:49Z","intvolume":"     14050"},{"doi":"10.1007/978-3-031-43421-1_12","language":[{"iso":"eng"}],"main_file_link":[{"url":"https://papers.dice-research.org/2023/ECML_NCES2/NCES2_public.pdf","open_access":"1"}],"publication_status":"published","date_updated":"2024-05-22T10:48:24Z","publication_identifier":{"isbn":["9783031434204","9783031434211"],"issn":["0302-9743","1611-3349"]},"author":[{"id":"87189","first_name":"N'Dah Jean","last_name":"Kouagou","full_name":"Kouagou, N'Dah Jean"},{"full_name":"Heindorf, Stefan","first_name":"Stefan","orcid":"0000-0002-4525-6865","last_name":"Heindorf","id":"11871"},{"last_name":"Demir","first_name":"Caglar","full_name":"Demir, Caglar","id":"43817"},{"id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille","first_name":"Axel-Cyrille","last_name":"Ngonga Ngomo"}],"year":"2023","title":"Neural Class Expression Synthesis in ALCHIQ(D)","department":[{"_id":"760"},{"_id":"574"}],"type":"book_chapter","date_created":"2023-09-25T13:42:01Z","file":[{"creator":"heindorf","date_created":"2024-05-22T10:45:08Z","relation":"main_file","date_updated":"2024-05-22T10:46:58Z","file_name":"NCES2_public.pdf","access_level":"open_access","file_size":432708,"file_id":"54417","content_type":"application/pdf"}],"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."}],"publication":"Machine Learning and Knowledge Discovery in Databases: Research Track","user_id":"11871","ddc":["000"],"_id":"47421","publisher":"Springer Nature Switzerland","has_accepted_license":"1","conference":{"end_date":"2023-09-22","start_date":"2023-09-18","name":"European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases","location":"Turin"},"status":"public","oa":"1","place":"Cham","citation":{"ama":"Kouagou NJ, Heindorf S, Demir C, Ngonga Ngomo A-C. Neural Class Expression Synthesis in ALCHIQ(D). In: <i>Machine Learning and Knowledge Discovery in Databases: Research Track</i>. Springer Nature Switzerland; 2023. doi:<a href=\"https://doi.org/10.1007/978-3-031-43421-1_12\">10.1007/978-3-031-43421-1_12</a>","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} }","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>.","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>.","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."},"file_date_updated":"2024-05-22T10:46:58Z"},{"_id":"46516","language":[{"iso":"eng"}],"publisher":"Springer Nature Switzerland","doi":"10.1007/978-3-031-35320-8_9","user_id":"76787","title":"Explainable Integration of Knowledge Graphs Using Large Language Models","year":"2023","status":"public","publication_identifier":{"issn":["0302-9743","1611-3349"],"isbn":["9783031353192","9783031353208"]},"author":[{"full_name":"Ahmed, Abdullah Fathi Ahmed","last_name":"Ahmed","first_name":"Abdullah Fathi Ahmed","id":"29670"},{"full_name":"Firmansyah, Asep Fajar","last_name":"Firmansyah","first_name":"Asep Fajar","id":"76787"},{"full_name":"Sherif, Mohamed","first_name":"Mohamed","orcid":"https://orcid.org/0000-0002-9927-2203","last_name":"Sherif","id":"67234"},{"id":"71635","last_name":"Moussallem","first_name":"Diego","full_name":"Moussallem, Diego"},{"full_name":"Ngonga Ngomo, Axel-Cyrille","first_name":"Axel-Cyrille","last_name":"Ngonga Ngomo","id":"65716"}],"date_updated":"2024-06-04T12:23:45Z","publication_status":"published","place":"Cham","date_created":"2023-08-16T08:57:11Z","type":"book_chapter","department":[{"_id":"34"},{"_id":"574"}],"publication":"Natural Language Processing and Information Systems","citation":{"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.","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>.","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>","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.","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>","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} }","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>."},"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."}]},{"publication_status":"published","date_updated":"2024-06-04T15:52:48Z","title":"Parameterized Complexity of Propositional Inclusion and Independence Logic","year":"2023","status":"public","author":[{"id":"99353","first_name":"Yasir","last_name":"Mahmood","full_name":"Mahmood, Yasir"},{"first_name":"Jonni","last_name":"Virtema","full_name":"Virtema, Jonni"}],"publication_identifier":{"issn":["0302-9743","1611-3349"],"isbn":["9783031397837","9783031397844"]},"user_id":"99353","doi":"10.1007/978-3-031-39784-4_17","publisher":"Springer Nature Switzerland","_id":"54579","language":[{"iso":"eng"}],"publication":"Logic, Language, Information, and Computation","citation":{"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.","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>","short":"Y. Mahmood, J. Virtema, in: Logic, Language, Information, and Computation, Springer Nature Switzerland, Cham, 2023.","chicago":"Mahmood, Yasir, and Jonni Virtema. “Parameterized Complexity of Propositional Inclusion and Independence Logic.” In <i>Logic, Language, Information, and Computation</i>. Cham: Springer Nature Switzerland, 2023. <a href=\"https://doi.org/10.1007/978-3-031-39784-4_17\">https://doi.org/10.1007/978-3-031-39784-4_17</a>.","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>.","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} }","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>"},"type":"book_chapter","department":[{"_id":"574"}],"date_created":"2024-06-04T09:59:47Z","place":"Cham"},{"project":[{"name":"TRR 318 - C2: TRR 318 - Subproject C2","_id":"125"}],"citation":{"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} }","short":"J.M. Hanselle, J. Fürnkranz, E. Hüllermeier, in: Discovery Science, Springer Nature Switzerland, Cham, 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>","chicago":"Hanselle, Jonas Manuel, Johannes Fürnkranz, and Eyke Hüllermeier. “Probabilistic Scoring Lists for Interpretable Machine Learning.” In <i>Discovery Science</i>. Cham: Springer Nature Switzerland, 2023. <a href=\"https://doi.org/10.1007/978-3-031-45275-8_13\">https://doi.org/10.1007/978-3-031-45275-8_13</a>.","ieee":"J. M. Hanselle, J. Fürnkranz, and E. Hüllermeier, “Probabilistic Scoring Lists for Interpretable Machine Learning,” in <i>Discovery Science</i>, Cham: Springer Nature Switzerland, 2023.","mla":"Hanselle, Jonas Manuel, et al. “Probabilistic Scoring Lists for Interpretable Machine Learning.” <i>Discovery Science</i>, Springer Nature Switzerland, 2023, doi:<a href=\"https://doi.org/10.1007/978-3-031-45275-8_13\">10.1007/978-3-031-45275-8_13</a>.","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>"},"publication":"Discovery Science","department":[{"_id":"660"}],"type":"book_chapter","place":"Cham","date_created":"2024-06-26T14:24:29Z","date_updated":"2024-06-26T14:25:50Z","publication_status":"published","author":[{"orcid":"0000-0002-1231-4985","first_name":"Jonas Manuel","last_name":"Hanselle","full_name":"Hanselle, Jonas Manuel","id":"43980"},{"full_name":"Fürnkranz, Johannes","last_name":"Fürnkranz","first_name":"Johannes"},{"id":"48129","full_name":"Hüllermeier, Eyke","first_name":"Eyke","last_name":"Hüllermeier"}],"publication_identifier":{"isbn":["9783031452741","9783031452758"],"issn":["0302-9743","1611-3349"]},"status":"public","title":"Probabilistic Scoring Lists for Interpretable Machine Learning","year":"2023","doi":"10.1007/978-3-031-45275-8_13","user_id":"72497","_id":"54909","publisher":"Springer Nature Switzerland","language":[{"iso":"eng"}]},{"citation":{"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} }","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>","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>.","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>.","short":"R. Trentinaglia, S. Merschjohann, M. Fockel, H. Eikerling, in: REFSQ 2023: Requirements Engineering: Foundation for Software Quality, Springer Nature Switzerland, Cham, 2023.","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>.","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>"},"publication":"REFSQ 2023: Requirements Engineering: Foundation for Software Quality","place":"Cham","date_created":"2023-04-04T12:47:31Z","department":[{"_id":"241"},{"_id":"662"}],"type":"conference","publication_identifier":{"isbn":["9783031297854","9783031297861"],"issn":["0302-9743","1611-3349"]},"author":[{"id":"49934","orcid":"0000-0001-9728-4991","last_name":"Trentinaglia","first_name":"Roman","full_name":"Trentinaglia, Roman"},{"full_name":"Merschjohann, Sven","last_name":"Merschjohann","first_name":"Sven","id":"11394"},{"id":"8472","full_name":"Fockel, Markus","last_name":"Fockel","orcid":"0000-0002-1269-0702","first_name":"Markus"},{"full_name":"Eikerling, Hendrik","last_name":"Eikerling","first_name":"Hendrik","id":"29279"}],"title":"Eliciting Security Requirements – An Experience Report","status":"public","year":"2023","date_updated":"2023-04-04T12:51:41Z","publication_status":"published","_id":"43395","language":[{"iso":"eng"}],"publisher":"Springer Nature Switzerland","doi":"10.1007/978-3-031-29786-1_25","user_id":"8472"},{"user_id":"38705","doi":"10.1007/978-3-031-30448-4_1","_id":"44769","language":[{"iso":"eng"}],"publisher":"Springer International Publishing","publication_status":"published","date_updated":"2023-05-11T13:14:43Z","title":"Unifying Gathering Protocols for Swarms of Mobile Robots","year":"2023","status":"public","author":[{"full_name":"Castenow, Jannik","first_name":"Jannik","last_name":"Castenow","id":"38705"},{"full_name":"Harbig, Jonas","first_name":"Jonas","last_name":"Harbig","id":"47213"},{"last_name":"Meyer auf der Heide","first_name":"Friedhelm","full_name":"Meyer auf der Heide, Friedhelm","id":"15523"}],"publication_identifier":{"isbn":["9783031304477","9783031304484"],"issn":["0302-9743","1611-3349"]},"type":"book_chapter","department":[{"_id":"63"}],"date_created":"2023-05-11T13:13:45Z","place":"Cham","project":[{"_id":"106","name":"Algorithmen für Schwarmrobotik: Verteiltes Rechnen trifft Dynamische Systeme"}],"publication":"Lecture Notes in Computer Science","citation":{"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} }","ama":"Castenow J, Harbig J, Meyer auf der Heide F. 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Shallow Water DG Simulations on FPGAs: Design and Comparison of a Novel Code Generation Pipeline. In: <i>Lecture Notes in Computer Science</i>. 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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."}],"_id":"46572","publisher":"Springer Nature Switzerland","user_id":"71039","conference":{"end_date":"2023-06-23","start_date":"2023-06-21","name":"International Conference on Applications of Natural Language to Information Systems (NLDB) 2023","location":"Derby, UK"},"status":"public","place":"Cham","citation":{"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>.","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.","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.","apa":"Gusmita, R. H., Firmansyah, A. F., Moussallem, D., &#38; Ngonga Ngomo, A.-C. (2023). IndQNER: Named Entity Recognition Benchmark Dataset from the Indonesian Translation of the Quran. In <i>Natural Language Processing and Information Systems</i>. International Conference on Applications of Natural Language to Information Systems (NLDB) 2023, Derby, UK. Springer Nature Switzerland. <a href=\"https://doi.org/10.1007/978-3-031-35320-8_12\">https://doi.org/10.1007/978-3-031-35320-8_12</a>","bibtex":"@inbook{Gusmita_Firmansyah_Moussallem_Ngonga Ngomo_2023, place={Cham}, title={IndQNER: Named Entity Recognition Benchmark Dataset from the Indonesian Translation of the Quran}, DOI={<a href=\"https://doi.org/10.1007/978-3-031-35320-8_12\">10.1007/978-3-031-35320-8_12</a>}, booktitle={Natural Language Processing and Information Systems}, publisher={Springer Nature Switzerland}, author={Gusmita, Ria Hari and Firmansyah, Asep Fajar and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}, year={2023} }","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>","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>."}},{"department":[{"_id":"888"}],"type":"book_chapter","date_created":"2024-03-25T13:56:30Z","place":"Cham","citation":{"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>.","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} }","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>","ieee":"I. de Camargo e Souza Câmara and A.-Y. Turhan, “Deciding Subsumption in Defeasible 𝓔𝓛𝓘⊥ with Typicality Models,” in <i>Logics in Artificial Intelligence</i>, Cham: Springer Nature Switzerland, 2023.","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>","short":"I. de Camargo e Souza Câmara, A.-Y. Turhan, in: Logics in Artificial Intelligence, Springer Nature Switzerland, Cham, 2023.","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>. Cham: Springer Nature Switzerland, 2023. <a href=\"https://doi.org/10.1007/978-3-031-43619-2_36\">https://doi.org/10.1007/978-3-031-43619-2_36</a>."},"publication":"Logics in Artificial Intelligence","user_id":"15504","doi":"10.1007/978-3-031-43619-2_36","_id":"52859","publisher":"Springer Nature Switzerland","language":[{"iso":"eng"}],"publication_status":"published","date_updated":"2024-12-11T13:57:36Z","publication_identifier":{"issn":["0302-9743","1611-3349"],"isbn":["9783031436185","9783031436192"]},"author":[{"full_name":"de Camargo e Souza Câmara, Igor","last_name":"de Camargo e Souza Câmara","first_name":"Igor"},{"id":"104470","last_name":"Turhan","first_name":"Anni-Yasmin","full_name":"Turhan, Anni-Yasmin"}],"title":"Deciding Subsumption in Defeasible 𝓔𝓛𝓘⊥ with Typicality Models","status":"public","year":"2023"},{"citation":{"ieee":"C. Hakert, K.-H. Chen, and J.-J. Chen, “Immediate Split Trees: Immediate Encoding of Floating Point Split Values in Random Forests,” in <i>Lecture Notes in Computer Science</i>, Cham: Springer Nature Switzerland, 2023.","apa":"Hakert, C., Chen, K.-H., &#38; Chen, J.-J. (2023). Immediate Split Trees: Immediate Encoding of Floating Point Split Values in Random Forests. In <i>Lecture Notes in Computer Science</i>. Springer Nature Switzerland. <a href=\"https://doi.org/10.1007/978-3-031-26419-1_32\">https://doi.org/10.1007/978-3-031-26419-1_32</a>","chicago":"Hakert, Christian, Kuan-Hsun Chen, and Jian-Jia Chen. “Immediate Split Trees: Immediate Encoding of Floating Point Split Values in Random Forests.” In <i>Lecture Notes in Computer Science</i>. Cham: Springer Nature Switzerland, 2023. <a href=\"https://doi.org/10.1007/978-3-031-26419-1_32\">https://doi.org/10.1007/978-3-031-26419-1_32</a>.","short":"C. Hakert, K.-H. Chen, J.-J. Chen, in: Lecture Notes in Computer Science, Springer Nature Switzerland, Cham, 2023.","mla":"Hakert, Christian, et al. “Immediate Split Trees: Immediate Encoding of Floating Point Split Values in Random Forests.” <i>Lecture Notes in Computer Science</i>, Springer Nature Switzerland, 2023, doi:<a href=\"https://doi.org/10.1007/978-3-031-26419-1_32\">10.1007/978-3-031-26419-1_32</a>.","bibtex":"@inbook{Hakert_Chen_Chen_2023, place={Cham}, title={Immediate Split Trees: Immediate Encoding of Floating Point Split Values in Random Forests}, DOI={<a href=\"https://doi.org/10.1007/978-3-031-26419-1_32\">10.1007/978-3-031-26419-1_32</a>}, booktitle={Lecture Notes in Computer Science}, publisher={Springer Nature Switzerland}, author={Hakert, Christian and Chen, Kuan-Hsun and Chen, Jian-Jia}, year={2023} }","ama":"Hakert C, Chen K-H, Chen J-J. Immediate Split Trees: Immediate Encoding of Floating Point Split Values in Random Forests. In: <i>Lecture Notes in Computer Science</i>. Springer Nature Switzerland; 2023. doi:<a href=\"https://doi.org/10.1007/978-3-031-26419-1_32\">10.1007/978-3-031-26419-1_32</a>"},"publication":"Lecture Notes in Computer Science","place":"Cham","date_created":"2026-07-03T21:18:28Z","type":"book_chapter","publication_identifier":{"issn":["0302-9743","1611-3349"],"isbn":["9783031264184","9783031264191"]},"author":[{"first_name":"Christian","last_name":"Hakert","full_name":"Hakert, Christian"},{"full_name":"Chen, Kuan-Hsun","last_name":"Chen","first_name":"Kuan-Hsun"},{"last_name":"Chen","first_name":"Jian-Jia","full_name":"Chen, Jian-Jia"}],"status":"public","title":"Immediate Split Trees: Immediate Encoding of Floating Point Split Values in Random Forests","year":"2023","date_updated":"2026-07-05T14:45:48Z","publication_status":"published","language":[{"iso":"eng"}],"_id":"66208","publisher":"Springer Nature Switzerland","doi":"10.1007/978-3-031-26419-1_32","user_id":"128464"}]