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- SimPack is intended primarily for the research of similarity between concepts in ontologies or ontologies as a whole. Possible other application areas of S...SimPack is intended primarily for the research of similarity between concepts in ontologies or ontologies as a whole. Possible other application areas of SimPack include
- Prantik Bhattacharyya • Ankush Garg • Shyhtsun Felix Wu
- Semantic similarity and relatedness measures assess how alike two words are within a language and are playing an important role in the development of the S...Semantic similarity and relatedness measures assess how alike two words are within a language and are playing an important role in the development of the Semantic Web. This thesis research advances the knowledge of existing similarity and relatedness measures. A generalized tool to experiment with semantic similarity and relatedness measures in a variety of ontological terminologies has been developed using the Simple Knowledge Organization System (SKOS), a proposed W3C standard for the Semantic Web. SKOS represents a terminology or domain vocabulary in a machine-understandable way. A flexible conversion tool is used to convert any vocabulary in the Unified Medical Language System (UMLS) Metathesaurus and OWL ontologies into an extended SKOS ontological terminology. The generalized tool for measuring semantic similarity and relatedness is then used to analyze a wide variety of semantic similarity measures and new set-based relatedness measures on three major vocabularies of the UMLS Metathesaurus.
- This specification defines a small ontology for similarity called MuSim. In MuSim, the association between two (or more) Things is a class to be reified ra...This specification defines a small ontology for similarity called MuSim. In MuSim, the association between two (or more) Things is a class to be reified rather than a property. This allows us to embrace the complexity of associations and accommodate the subjectivity and context-dependence of musical and multimedia similarity. Although this ontology was designed with music similarity in mind, it can readily be applied to other domains.
- The Java WordNet Similarity Library (JWSL)
- Pure Java WordNet Similarity Library (Result Project)
- A Java implementation of WordNet::Similarity - a Perl coded package that allows one to measure, in various ways, the similarity between word senses using t...A Java implementation of WordNet::Similarity - a Perl coded package that allows one to measure, in various ways, the similarity between word senses using the structure of WordNet.
- EKAW, volume 2473 of Lecture Notes in Computer Science, page 251-263. Springer, (2002)
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- Proceedings of the 18th international conference on World wide web, page 351--360. New York, NY, USA, ACM, (2009)
- CLEI electronic journal 14(1):2 (2011)
- Proc. 20th ACM Conference on Information and Knowledge Management CIKM, (2011)
- ACM Trans. Multimedia Computing, Communications, and Applications 7S(1):32 (2011)
- Expert Systems with Applications 38(12):15540-15548 (2011)cited By since 1996 1 .
- 18th International World Wide Web Conference, page 641--641. (April 2009)
- The Semantic Web - ISWC 2008, volume 5318 of Lecture Notes in Computer Science, Springer Berlin / Heidelberg, (2008)
- The VLDB Journal (2010)
- Fundamental Approaches to Software Engineering, volume 6603 of Lecture Notes in Computer Science, page 386--400. Springer, (2011)
- SIGIR, page 739-740. ACM, (2008)
- (2006)
- Data Engineering for Blogs, Social Media, and Web 2.0, ICDE 2008 Workshops, page 501--506. (2008)
- RecSys '08: Proceedings of the 2008 ACM conference on Recommender systems, page 51--58. New York, NY, USA, ACM, (2008)
- SIGIR '08: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval, page 523--530. New York, NY, USA, ACM, (2008)
- WWW '07: Proceedings of the 16th international conference on World Wide Web, New York, NY, USA, ACM Press, (2007)
- Language & Cognitive Processes 6(1):1--28 (1991)
- Proceedings of the First workshop on Unsupervised Learning in NLP, page 113--123. Edinburgh, Scotland, Association for Computational Linguistics, (July 2011)
- Proceedings of the ECML/PKDD 2011, (2011)
