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Ontology, and more broadly, Knowledge Graph Matching is a challenging task in which expressiveness has not been fully addressed.
2013
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Grover, A., Leskovec, J.: node2vec: Scalable feature learning for networks. In: Krishnapuram, B., Shah, M., Smola, A.J., Aggarwal, C.C., Shen, D., Rastogi, R. (eds.) Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, CA, USA, August 13-17, 2016. pp. 855–864. ACM (2016). https://doi.org/10.1145/2939672.2939754, https://doi.org/10.1145/2939672.2939754
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2017
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Jouhet, V., Mougin, F., Bréchat, B., Thiessard, F.: Building a model for disease classification integration in oncology, an approach based on the national cancer institute thesaurus. Journal of Biomedical Semantics 8
2017
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Thiéblin, E., Amarger, F., Hernandez, N., Roussey, C., Trojahn, C.: Cross-querying LOD datasets using complex alignments: An application to agronomic taxa. In: Metadata and Semantic Research - 11th Inter. Conference, MTSR. vol. 755, pp. 25–37 (2017). https://doi.org/10.1007/978-3-319-70863-8_3
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Agibetov, A., Jiménez-Ruiz, E., Ondresik, M., Solimando, A., Banerjee, I., Guerrini, G., Catalano, C.E., Oliveira, J.M., Patanè, G., Reis, R.L., Spagnuolo, M.: Supporting shared hypothesis testing in the biomedical domain. J. Biomed. Semant. 9
2018
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Dhouib, M.T., Faron-Zucker, C., Tettamanzi, A.G.B.: An ontology alignment approach combining word embedding and the radius measure. In: Acosta, M., Cudré-Mauroux, P., Maleshkova, M., Pellegrini, T., Sack, H., Sure-Vetter, Y. (eds.) Semantic Systems. The Power of AI and Knowledge Graphs - 15th International Conference, SEMANTiCS 2019, Karlsruhe, Germany, September 9-12, 2019, Proceedings. Lecture Notes in Computer Science, vol. 11702, pp. 191–197. Springer (2019). https://doi.org/10.1007/978-3-030-33220-4_14, https://doi.org/10.1007/978-3-030-33220-4_14
2019
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Tang, X., Zhang, J., Chen, B., Yang, Y., Chen, H., Li, C.: BERT-INT: A bert-based interaction model for knowledge graph alignment. In: Bessiere, C. (ed.) Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, IJCAI 2020. pp. 3174–3180. ijcai.org (2020). https://doi.org/10.24963/IJCAI.2020/439, https://doi.org/10.24963/ijcai.2020/439
2020
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2023
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Faria, D., Silva, M.C., Cotovio, P., Ferraz, L., Balbi, L., Pesquita, C.: Results for matcha and matcha-dl in OAEI 2023. In: Shvaiko, P., Euzenat, J., Jiménez-Ruiz, E., Hassanzadeh, O., Trojahn, C. (eds.) Proceedings of the 18th International Workshop on Ontology Matching co-located with the 22nd International Semantic Web Conference (ISWC 2023), Athens, Greece, November 7, 2023. CEUR Workshop Proceedings, vol. 3591, pp. 164–169. CEUR-WS.org (2023), https://ceur-ws.org/Vol-3591/oaei23_paper6.pdf
2023
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Hertling, S., Paulheim, H.: Olala: Ontology matching with large language models. In: Proceedings of the 12th Knowledge Capture Conference 2023. p. 131–139. K-CAP ’23, Association for Computing Machinery, New York, NY, USA (2023). https://doi.org/10.1145/3587259.3627571, https://doi.org/10.1145/3587259.3627571
2023
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2020
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Dhouib, M.T., Faron, C., Tettamanzi, A.G.B.: Measuring clusters of labels in an embedding space to refine relations in ontology alignment. J. Data Semant. 10
2021
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Thiéblin, É., Haemmerlé, O., Trojahn, C.: Automatic evaluation of complex alignments: An instance-based approach. Semantic Web 12
2021
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Akremi, H., Ayadi, M.G., Zghal, S.: A fuzzy OWL ontologies embedding for complex ontology alignments. In: Poncelet, P., Ienco, D. (eds.) Discovery Science - 25th International Conference, DS 2022, Montpellier, France, October 10-12, 2022, Proceedings. Lecture Notes in Computer Science, vol. 13601, pp. 394–404. Springer (2022). https://doi.org/10.1007/978-3-031-18840-4_28, https://doi.org/10.1007/978-3-031-18840-4_28
2022
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Portisch, J., Costa, G., Stefani, K., Kreplin, K., Hladik, M., Paulheim, H.: Ontology matching through absolute orientation of embedding spaces. In: Groth, P., Rula, A., Schneider, J., Tiddi, I., Simperl, E., Alexopoulos, P., Hoekstra, R., Alam, M., Dimou, A., Tamper, M. (eds.) The Semantic Web: ESWC 2022 Satellite Events - Hersonissos, Crete, Greece, May 29 - June 2, 2022, Proceedings. Lecture Notes in Computer Science, vol. 13384, pp. 153–157. Springer (2022). https://doi.org/10.1007/978-3-031-11609-4_29, https://doi.org/10.1007/978-3-031-11609-4_29
2022
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Sousa, G., Lima, R., Trojahn, C.: An eye on representation learning in ontology matching. In: Shvaiko, P., Euzenat, J., Jiménez-Ruiz, E., Hassanzadeh, O., Trojahn, C. (eds.) Proceedings of the 17th International Workshop on Ontology Matching (OM 2022) co-located with the 21th International Semantic Web Conference (ISWC 2022), Hangzhou, China, held as a virtual conference, October 23, 2022. CEUR Workshop Proceedings, vol. 3324, pp. 49–60. CEUR-WS.org (2022), https://ceur-ws.org/Vol-3324/om2022_LTpaper5.pdf
2022
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Akremi, H., Ayadi, M.G., Zghal, S.: Complex ontology alignments using OWL ontologies embedding. In: Yildirim, T., Chbeir, R., Bellatreche, L., Badica, C. (eds.) International Conference on Innovations in Intelligent Systems and Applications, INISTA 2023, Hammamet, Tunisia, September 20-23, 2023. pp. 1–5. IEEE (2023). https://doi.org/10.1109/INISTA59065.2023.10310509, https://doi.org/10.1109/INISTA59065.2023.10310509
2023
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Li, Y., Li, J., Suhara, Y., Doan, A., Tan, W.: Effective entity matching with transformers. VLDB J. 32
2023
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Muennighoff, N., Tazi, N., Magne, L., Reimers, N.: MTEB: massive text embedding benchmark. In: Vlachos, A., Augenstein, I. (eds.) Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2023, Dubrovnik, Croatia, May 2-6, 2023. pp. 2006–2029. Association for Computational Linguistics (2023). https://doi.org/10.18653/V1/2023.EACL-MAIN.148, https://doi.org/10.18653/v1/2023.eacl-main.148
2023
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Peeters, R., Bizer, C.: Using chatgpt for entity matching. In: Abelló, A., Vassiliadis, P., Romero, O., Wrembel, R., Bugiotti, F., Gamper, J., Vargas-Solar, G., Zumpano, E. (eds.) New Trends in Database and Information Systems - ADBIS 2023 Short Papers, Doctoral Consortium and Workshops: AIDMA, DOING, K-Gals, MADEISD, PeRS, Barcelona, Spain, September 4-7, 2023, Proceedings. Communications in Computer and Information Science, vol. 1850, pp. 221–230. Springer (2023). https://doi.org/10.1007/978-3-031-42941-5_20, https://doi.org/10.1007/978-3-031-42941-5_20
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2024
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Thiéblin, E., Sousa, G., Haemmerlé, O., Trojahn, C.: Canard: An approach for generating expressive correspondences based on competency questions for alignment. Semantic Web (Preprint), 1–33 (2024). https://doi.org/10.3233/SW-233521
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