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.
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.
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
Mean Absolute Error (MAE) and Root mean squared error (RMSE) are two of the most common metrics used to measure accuracy for continuous variables. Not sure if I’m imagining it but I think there used…
eTBLAST is a unique search engine for searching biomedical literature. Our service is very different from PubMed. While PubMed searches for "keywords", our search engine lets you input an entire paragraph and returns MEDLINE abstracts that are similar to
Semantic similarity, also called semantic relatedness or semantic closeness/proximity/nearness, is a concept whereby a set of documents or terms within term lists are assigned a metric based on the likeness of their meaning / semantic content.
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.
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D. Wangsadirdja, F. Heinickel, S. Trapp, A. Zehe, K. Kobs, and A. Hotho. Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022), page 1235--1243. Seattle, United States, Association for Computational Linguistics, (July 2022)
S. Heil, K. Kopp, A. Zehe, K. Kobs, and A. Hotho. Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022), page 1190--1195. Seattle, United States, Association for Computational Linguistics, (July 2022)
D. Wangsadirdja, F. Heinickel, S. Trapp, A. Zehe, K. Kobs, and A. Hotho. Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022), page 1235--1243. Seattle, United States, Association for Computational Linguistics, (July 2022)
S. Heil, K. Kopp, A. Zehe, K. Kobs, and A. Hotho. Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022), page 1190--1195. Seattle, United States, Association for Computational Linguistics, (July 2022)
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A. Correya, R. Hennequin, and M. Arcos. (2018)cite arxiv:1808.10351Comment: Music Information Retrieval, Cover Song Identification, Million Song Dataset, Natural Language Processing.
P. Szmeja, M. Ganzha, M. Paprzycki, and W. Pawlowski. Advances in Data Analysis with Computational Intelligence Methods, volume 738 of Studies in Computational Intelligence, page 87-125. Springer, (2018)
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A. Correya, R. Hennequin, and M. Arcos. (2018)cite arxiv:1808.10351Comment: Music Information Retrieval, Cover Song Identification, Million Song Dataset, Natural Language Processing.
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