UKB is a collection of programs for performing graph-based Word Sense Disambiguation and lexical similarity/relatedness using a pre-existing knowledge base.
S-Match is an open source Java framework for semantic matching. It contains semantic matching, minimal semantic matching and structure preserving semantic matching algorithm implementations.
WordNet® is an online lexical reference system whose design is inspired by current psycholinguistic theories of human lexical memory. English nouns, verbs, adjectives and adverbs are organized into synonym sets, each representing one underlying lexical concept. Different relations link the synonym sets.
E. Agirre, E. Alfonseca, K. Hall, J. Kravalova, M. Pasca, и A. Soroa. Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, стр. 19--27. Stroudsburg, PA, USA, Association for Computational Linguistics, (2009)
E. Agirre, E. Alfonseca, K. Hall, J. Kravalova, M. Pasca, и A. Soroa. Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, стр. 19--27. Stroudsburg, PA, USA, Association for Computational Linguistics, (2009)
M. Ruiz-Casado, E. Alfonseca, и P. Castells. Natural Language Processing and Information Systems, том 3513 из Lecture Notes in Computer Science, Springer, Berlin / Heidelberg, (2005)
D. Laniado, D. Eynard, и M. Colombetti. Semantic Web Application and Perspectives - Fourth Italian Semantic Web Workshop, стр. 192--201. (декабря 2007)
M. Haridas, и D. Caragea. On the Move to Meaningful Internet Systems: OTM 2009, том 5871 из Lecture Notes in Computer Science, Springer, Berlin / Heidelberg, (2009)
M. McHale. Proceedings of the COLING/ACL Workshop on Usage of WordNet in Natural Language Processing Systems, August 16, 1998, Montreal, Canada, Association for Computational Linguistics, Morristown, NJ, USA, (1998)
G. Ifrim, M. Theobald, и G. Weikum. Proceedings of the 22nd International Conference on Machine Learning - Learning in Web Search (LWS 2005), стр. 18--26. Bonn, Germany, (2005)