Vollmers D, Jalota R, Moussallem D, Topiwala H, Ngonga Ngomo A-C, Usbeck R. Knowledge Graph Question Answering using Graph-Pattern Isomorphism. CoRR. 2021;abs/2103.06752.

Sharma A, Demir C, Ngonga Ngomo A-C, Wehrheim H. MLCheck- Property-Driven Testing of Machine Learning Models. CoRR. 2021;abs/2105.00741.

Wilke A, Ngonga Ngomo A-C. Open Data Portal Germany (OPAL) Projektergebnisse. CoRR. 2021;abs/2105.03161.

Demir C, Ngonga Ngomo A-C. Out-of-Vocabulary Entities in Link Prediction. CoRR. 2021;abs/2105.12524.

Demir C, Ngonga Ngomo A-C. DRILL- Deep Reinforcement Learning for Refinement Operators in ALC. CoRR. 2021;abs/2106.15373.

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.

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

Hogan A, Blomqvist E, Cochez M, et al. Knowledge Graphs. ACM Comput Surv. 2021;54(4):71:1-71:37. doi:10.1145/3447772

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

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

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

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

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.

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

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

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

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

Moussalem DC. Knowledge Graphs for Multilingual Language Translation and Generation.; 2020. doi:10.17619/UNIPB/1-980

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

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