Abstract
Information in Digital Libraries is explicitly organized, described, and managed. The content of their data resources is summarized into small descriptions, usually called metadata, which can be either introduced manually or automatically generated. In this context, specialized thesauri are frequently used to provide accurate content for subject or keyword metadata elements. However, if a Digital Library aims at providing access for the general public, it is not reasonable to assume that casual users will use the same terms as the keywords used in metadata records. As an initial step to fill the semantic gap between user queries and metadata records, the authors of this paper already created a method for the semantic disambiguation of thesauri with respect to an upper-level ontology (WordNet). This paper presents now the integration of this disambiguation within an information retrieval system, in this case adapting the vector-space retrieval model. Thanks to the disambiguation, both metadata records and queries can be homogenously represented as a collection of WordNet synsets, thus enabling the computing of a similarity value, which ranks the results.
The basic technology of this work has been partially supported by the Spanish Ministry of Science and Technology through the projects TIC2000-1568-C03-01 from the National Plan for Scientific Research, Development and Technology Innovation and FIT-150500-2003-519 from the National Plan for Information Society. The work of J. Lacasta has been partially supported by a grant from the Aragón Government and the European Social Fund (ref. B139/2003).
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Nogueras-Iso, J., Lacasta, J., Bañares, J.Á., Muro-Medrano, P.R., Zarazaga-Soria, F.J. (2004). Exploiting Disambiguated Thesauri for Information Retrieval in Metadata Catalogs. In: Conejo, R., Urretavizcaya, M., Pérez-de-la-Cruz, JL. (eds) Current Topics in Artificial Intelligence. TTIA 2003. Lecture Notes in Computer Science(), vol 3040. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25945-9_32
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DOI: https://doi.org/10.1007/978-3-540-25945-9_32
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