Kouagou, N’Dah Jean, et al. “Neural Class Expression Synthesis in ALCHIQ(D).”10.1007/978-3-031-43421-1_12__Machine Learning and Knowledge Discovery in Databases: Research Track, Springer Nature Switzerland, 2023, doi:10.1007/978-3-031-43421-1_12.

Sieger, Leonie Nora, et al. “Explaining ELH Concept Descriptions through Counterfactual Reasoning.” ArXiv:2301.05109, 2023.

Zahera, Hamada M., et al. “MultPAX: Keyphrase Extraction Using Language Models and Knowledge Graphs.”10.1007/978-3-031-19433-7_18__The Semantic Web - ISWC 2022 - 21st International Semantic Web Conference, Virtual Event, October 23-27, 2022, Proceedings, edited by Ulrike Sattler et al., vol. 13489, Springer, 2022, pp. 303–318, doi:10.1007/978-3-031-19433-7_18.

Perevalov, Aleksandr, et al. “Can Machine Translation Be a Reasonable Alternative for Multilingual Question Answering Systems over Knowledge Graphs?”10.1145/3485447.3511940__WWW ’22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022, edited by Frédérique Laforest et al., ACM, 2022, pp. 977–986, doi:10.1145/3485447.3511940.

Saleem, Muhammad, et al., editors. Proceedings of the QuWeDa 2022: 6th Workshop on Storing, Querying and Benchmarking Knowledge Graphs Co-Located with 21st International Semantic Web Conference (ISWC 2022), Hangzhou, China, 23-27 October 2022. CEUR-WS.org, 2022.

Bigerl, Alexander, et al. “Hashing the Hypertrie: Space- and Time-Efficient Indexing for SPARQL in Tensors.”10.1007/978-3-031-19433-7_4__The Semantic Web - ISWC 2022 - 21st International Semantic Web Conference, Virtual Event, October 23-27, 2022, Proceedings, edited by Ulrike Sattler et al., vol. 13489, Springer, 2022, pp. 57–73, doi:10.1007/978-3-031-19433-7_4.

Ali, Manzoor, et al. “REBench: Microbenchmarking Framework for Relation Extraction Systems.”10.1007/978-3-031-19433-7_37__The Semantic Web - ISWC 2022 - 21st International Semantic Web Conference, Virtual Event, October 23-27, 2022, Proceedings, edited by Ulrike Sattler et al., vol. 13489, Springer, 2022, pp. 643–659, doi:10.1007/978-3-031-19433-7_37.

Demir, Caglar, et al. “Rapid Explainability for Skill Description Learning.” Proceedings of the ISWC 2022 Posters, Demos and Industry Tracks: From Novel Ideas to Industrial Practice Co-Located with 21st International Semantic Web Conference (ISWC 2022), Virtual Conference, Hangzhou, China, October 23-27, 2022, edited by Anastasia Dimou et al., vol. 3254, CEUR-WS.org, 2022.

Stadler, Claus, et al. “LSQ Framework: The LSQ Framework for SPARQL Query Log Processing.” Proceedings of the QuWeDa 2022: 6th Workshop on Storing, Querying and Benchmarking Knowledge Graphs Co-Located with 21st International Semantic Web Conference (ISWC 2022), Hangzhou, China, 23-27 October 2022, edited by Muhammad Saleem and Axel-Cyrille Ngonga Ngomo, vol. 3279, CEUR-WS.org, 2022, pp. 49–64.

Demir, Caglar, et al. “Kronecker Decomposition for Knowledge Graph Embeddings.”10.1145/3511095.3531276__HT ’22: 33rd ACM Conference on Hypertext and Social Media, Barcelona, Spain, 28 June 2022- 1 July 2022, edited by Alejandro Bellogín et al., ACM, 2022, pp. 1–10, doi:10.1145/3511095.3531276.

Perevalov, Aleksandr, et al. “Enhancing the Accessibility of Knowledge Graph Question Answering Systems through Multilingualization.”10.1109/ICSC52841.2022.00048__16th IEEE International Conference on Semantic Computing, ICSC 2022, Laguna Hills, CA, USA, January 26-28, 2022, IEEE, 2022, pp. 251–256, doi:10.1109/ICSC52841.2022.00048.

Zahera, Hamada M., et al. “Tab2Onto: Unsupervised Semantification with Knowledge Graph Embeddings.”10.1007/978-3-031-11609-4_9__The Semantic Web: ESWC 2022 Satellite Events - Hersonissos, Crete, Greece, May 29 - June 2, 2022, Proceedings, edited by Paul Groth et al., vol. 13384, Springer, 2022, pp. 47–51, doi:10.1007/978-3-031-11609-4_9.

Bondarenko, Alexander, et al. “CausalQA: A Benchmark for Causal Question Answering.” Proceedings of the 29th International Conference on Computational Linguistics, COLING 2022, Gyeongju, Republic of Korea, October 12-17, 2022, edited by Nicoletta Calzolari et al., International Committee on Computational Linguistics, 2022, pp. 3296–3308.

Hogan, Aidan, et al. “Knowledge Graphs.”10.1145/3447772__ACM Comput. Surv., vol. 54, no. 4, 2022, p. 71:1–71:37, doi:10.1145/3447772.

Ali, Waqas, et al. “A Survey of RDF Stores &; SPARQL Engines for Querying Knowledge Graphs.”10.1007/s00778-021-00711-3__VLDB J., vol. 31, no. 3, 2022, pp. 1–26, doi:10.1007/s00778-021-00711-3.

Demir, Caglar, and Axel-Cyrille Ngonga Ngomo. “Hardware-Agnostic Computation for Large-Scale Knowledge Graph Embeddings.”10.1016/j.simpa.2022.100377__Softw. Impacts, vol. 13, 2022, p. 100377, doi:10.1016/j.simpa.2022.100377.

Zahera, Hamada Mohamed Abdelsamee, et al. “Tab2Onto: Unsupervised Semantification with Knowledge Graph Embeddings.”10.1007/978-3-031-11609-4_9__The Semantic Web: ESWC 2022 Satellite Events, Springer International Publishing, 2022, doi:10.1007/978-3-031-11609-4_9.

Bondarenko, Alexander, et al. “CausalQA: A Benchmark for Causal Question Answering.” Proceedings of the 29th International Conference on Computational Linguistics, International Committee on Computational Linguistics, 2022, pp. 3296–3308.

Deppe, Sahar, et al. AI-Based Assistance System for Manufacturing. 2022, doi:10.1109/ETFA52439.2022.9921520.

KOUAGOU, N’Dah Jean, et al. “Learning Concept Lengths Accelerates Concept Learning in ALC.”10.1007/978-3-031-06981-9_14__The Semantic Web, Springer International Publishing, 2022, doi:10.1007/978-3-031-06981-9_14.