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68 Publications
2021 | Journal Article | LibreCat-ID: 25215
Demir C, Ngonga Ngomo A-C. Out-of-Vocabulary Entities in Link Prediction. CoRR. 2021;abs/2105.12524.
LibreCat
2021 | Journal Article | LibreCat-ID: 25217
Demir C, Ngonga Ngomo A-C. DRILL- Deep Reinforcement Learning for Refinement Operators in ALC. CoRR. 2021;abs/2106.15373.
LibreCat
2021 | Conference Paper | LibreCat-ID: 28350
Sharma A, Demir C, Ngonga Ngomo A-C, Wehrheim H. MLCHECK–Property-Driven Testing of Machine Learning Classifiers. In: Proceedings of the 20th IEEE International Conference on Machine Learning and Applications (ICMLA). IEEE.
LibreCat
2021 | Journal Article | LibreCat-ID: 24719
M. Zahera H, Jalota R, Ahmed Sherif M, Ngonga Ngomo A-C. I-AID: Identifying Actionable Information From Disaster-Related Tweets. {IEEE} Access. 2021;9:118861-118870. doi:10.1109/ACCESS.2021.3107812
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 24720
Hogan A, Blomqvist E, Cochez M, et al. Knowledge Graphs. {ACM} Comput Surv. 2021;54(4):71:1-71:37. doi:10.1145/3447772
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| DOI
2021 | Book Chapter | LibreCat-ID: 29046
Feldhans R, Wilke A, Heindorf S, et al. Drift Detection in Text Data with Document Embeddings. In: Intelligent Data Engineering and Automated Learning – IDEAL 2021. ; 2021. doi:10.1007/978-3-030-91608-4_11
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| DOI
2021 | Conference Paper | LibreCat-ID: 29047
Wilke A, Bannoura A, Ngonga Ngomo A-CN. Relicensing Combined Datasets. In: 2021 IEEE 15th International Conference on Semantic Computing (ICSC). ; 2021:241-247. doi:10.1109/ICSC50631.2021.00050
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| DOI
2021 | Conference Paper | LibreCat-ID: 29486
Firmansyah AF, Moussallem D, Ngonga Ngomo A-C. GATES: Using Graph Attention Networks for Entity Summarization. In: Proceedings of the 11th on Knowledge Capture Conference. ACM; 2021:73–80. doi:10.1145/3460210.3493574
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| DOI
2021 | Conference Paper | LibreCat-ID: 29291 | 
Zahera HMA, Heindorf S, Ngonga Ngomo A-C. ASSET: A Semi-supervised Approach for Entity Typing in Knowledge Graphs. In: Proceedings of the 11th on Knowledge Capture Conference. ACM; 2021. doi:10.1145/3460210.3493563
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2021 | Book Chapter | LibreCat-ID: 29292 |
Feldhans R, Wilke A, Heindorf S, et al. Drift Detection in Text Data with Document Embeddings. In: Intelligent Data Engineering and Automated Learning – IDEAL 2021. Springer International Publishing; 2021. doi:10.1007/978-3-030-91608-4_11
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2021 | Conference Paper | LibreCat-ID: 29287 |
Demir C, Moussallem D, Heindorf S, Ngonga Ngomo A-C. Convolutional Hypercomplex Embeddings for Link Prediction. In: The 13th Asian Conference on Machine Learning, ACML 2021. ; 2021.
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| arXiv
2021 | Conference Paper | LibreCat-ID: 29294 |
Nickchen T, Heindorf S, Engels G. Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts. In: 2021 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE; 2021. doi:10.1109/wacv48630.2021.00204
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2021 | Journal Article | LibreCat-ID: 24456 |
Rohlfing KJ, Cimiano P, Scharlau I, et al. Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems. IEEE Transactions on Cognitive and Developmental Systems. 2021;13(3):717-728. doi:10.1109/tcds.2020.3044366
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2021 | Journal Article | LibreCat-ID: 25212
Qudus U, Saleem M, Ngonga Ngomo A-C, Lee Y-K. An Empirical Evaluation of Cost-based Federated SPARQL Query Processing Engines. Semantic Web. 12(6):843-868. doi:10.3233/SW-200420
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2020 | Dissertation | LibreCat-ID: 16935
Moussalem DC. Knowledge Graphs for Multilingual Language Translation and Generation.; 2020. doi:10.17619/UNIPB/1-980
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2020 | Conference Paper | LibreCat-ID: 20141 |
Heindorf S, Scholten Y, Wachsmuth H, Ngonga Ngomo A-C, Potthast M. CauseNet: Towards a Causality Graph Extracted from the Web. In: Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM 2020). ; 2020:3023-3030. doi:10.1145/3340531.3412763
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2020 | Book Chapter | LibreCat-ID: 29042
Röder M, Sherif M, Saleem M, Conrads F, Ngonga Ngomo A-C. Benchmarking the Lifecycle of Knowledge Graphs. In: Tiddi I, Lécué F, Hitzler P, eds. Knowledge Graphs for EXplainable Artificial Intelligence: Foundations, Applications and Challenges. IOS Press; 2020:73-97. doi:10.3233/SSW200012
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2019 | Conference Paper | LibreCat-ID: 15921
Desouki AA, Röder M, Ngonga Ngomo A-C. Ranking on Very Large Knowledge Graphs. In: Proceedings of the 30th ACM Conference on Hypertext and Social Media - HT ’19. ACM; 2019:163-171. doi:10.1145/3342220.3343660
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