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A scalable approach for computing semantic relatedness using semantic web data

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

Authors

Computing semantic relatedness is an essential operation for many natural language processing (NLP) tasks, such as Entity Linking (EL) and Question Answering (QA). It is still challenging to find a scalable approach to compute the semantic relatedness using Semantic Web data. Hence, we present for the first time an approach to pre-compute the semantic relatedness between the instances, relations, and classes of an ontology, such that they can be used in real-time applications.

Original languageEnglish
Title of host publication6th International Conference on Web Intelligence, Mining and Semantics, WIMS 2016
EditorsPatrice Bellot, Jacky Montmain, Sebastien Harispe, Francois Trousset, Michel Plantie, Rajendra Akerkar, Anne Laurent, Sylvie Ranwez
Number of pages9
PublisherAssociation for Computing Machinery, Inc
Publication date13.06.2016
Article number20
ISBN (electronic)9781450340564
DOIs
Publication statusPublished - 13.06.2016
Externally publishedYes
Event6th International Conference on Web Intelligence, Mining and Semantics, WIMS 2016 - Nimes, France
Duration: 13.06.2016 → 15.06.2016
Conference number: 6
https://dl.acm.org/doi/proceedings/10.1145/2912845

Bibliographical note

Publisher Copyright:
© 2016 ACM.

Other publications by the same author(s)

ShortPathQA: A Dataset for Controllable Fusion of Large Language Models with Knowledge Graphs

Salnikov, M., Sakhovskiy, A., Nikishina, I., Usmanova, A., Kraft, A., Möller, C., Banerjee, D., Huang, J., Jiang, L., Abdullah, R., Yan, X., Tutubalina, E., Usbeck, R. & Panchenko, A., 2026, Natural Language Processing and Information Systems: 30th International Conference on Applications of Natural Language to Information Systems, NLDB 2025, Proceedings. Ichise, R. (ed.). Springer Science and Business Media Deutschland, p. 95-110 16 p. (Lecture Notes in Computer Science; vol. 15836 LNCS).

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

Analyzing the Influence of Knowledge Graph Information on Relation Extraction

Möller, C. & Usbeck, R., 2025, The Semantic Web: 22nd European Semantic Web Conference, ESWC 2025 Portoroz, Slovenia, June 1–5, 2025 Proceedings, Part I. Curry, E., Acosta, M., Poveda-Villalón, M., van Erp, M., Ojo, A., Hose, K., Shimizu, C. & Lisena, P. (eds.). Cham: Springer Nature Switzerland AG, Vol. 1. p. 460-480 21 p. (Lecture Notes in Computer Science ; vol. 15718).

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

Automating SPARQL Query Translations between DBpedia and Wikidata

Bartels, M. C., Banerjee, D. & Usbeck, R., 14.07.2025, Linking Meaning: Semantic Technologies Shaping the Future of AI: Cover 74617 Proceedings of the 21st International Conference on Semantic Systems, 3-5 September 2025, Vienna, Austria. Spahiu, B., Vahdati, S., Salatino, A., Pellegrini, T. & Havur, G. (eds.). IOS Press BV, p. 176-193 18 p. (Studies on the Semantic Web; vol. 62).

Research output: Contributions to collected editions/works › Article in conference proceedings › Research

Bridge-Generate: Scholarly Hybrid Question Answering

Taffa, T. A. & Usbeck, R., 23.05.2025, WWW Companion 2025 - Companion Proceedings of the ACM Web Conference 2025: Companion Proceedings of the ACM Web Conference 2025, April 28-May 2, 2025 Sydney, NSW, Australia. Long, G., Blumestein, M., Chang, Y., Lewin-Eytan, L., Huang, H. & Yom-Tov, E. (eds.). New York: Association for Computing Machinery, Inc, p. 1321-1325 5 p.

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

DBLPLink 2.0 -- An Entity Linker for the DBLP Scholarly Knowledge Graph

Banerjee, D., Taffa, T. A. & Usbeck, R., 30.07.2025

Research output: other publications › Other › Research

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