Web-Based Measure of Semantic Relatedness

Gracia, Jorge y Mena, E. (2008). Web-Based Measure of Semantic Relatedness. En: "International Conference on Web Information Systems Engineering (WISE 2008)", September 2008, Auckland , New Zealand. ISBN 978-3-540-85480-7 ISSN 0302-9743.

Descripción

Título: Web-Based Measure of Semantic Relatedness
Autor/es:
  • Gracia, Jorge
  • Mena, E.
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: International Conference on Web Information Systems Engineering (WISE 2008)
Fechas del Evento: September 2008
Lugar del Evento: Auckland , New Zealand
Título del Libro: Proceedings of the International Conference on Web Information Systems Engineering (WISE 2008)
Fecha: 2008
ISBN: 978-3-540-85480-7 ISSN 0302-9743
Volumen: 5175
Materias:
Palabras Clave Informales: oeg
Escuela: Facultad de Informática (UPM) [antigua denominación]
Departamento: Inteligencia Artificial
Grupo Investigación UPM: Ontology Engineering Group – OEG
Licencias Creative Commons: Ninguna

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Resumen

Semantic relatedness measures quantify the degree in which some words or concepts are related, considering not only similarity but any possible semantic relationship among them. Relatedness computation is of great interest in different areas, such as Natural Language Processing, Information Retrieval, or the Semantic Web. Different methods have been proposed in the past; however, current relatedness measures lack some desirable properties for a new generation of Semantic Web applications: maximum coverage, domain independence, and universality. In this paper, we explore the use of a semantic relatedness measure between words, that uses the Web as knowledge source. This measure exploits the information about frequencies of use provided by existing search engines. Furthermore, taking this measure as basis, we define a new semantic relatedness measure among ontology terms. The proposed measure fulfils the above mentioned desirable properties to be used on the Semantic Web. We have tested extensively this semantic measure to show that it correlates well with human judgment, and helps solving some particular tasks, as word sense disambiguation or ontology matching.

Más información

ID de Registro: 6549
Identificador DC: http://oa.upm.es/6549/
Identificador OAI: oai:oa.upm.es:6549
Depositado por: Dr Oscar Corcho
Depositado el: 29 Mar 2011 07:18
Ultima Modificación: 20 Abr 2016 15:48
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