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A contribution to semantic indexing and retrieval based on FCA - An application to song datasets

Identifieur interne : 001905 ( Main/Exploration ); précédent : 001904; suivant : 001906

A contribution to semantic indexing and retrieval based on FCA - An application to song datasets

Auteurs : Victor Codocedo [Chili] ; Ioanna Lykourentzou [Luxembourg (pays)] ; Amedeo Napoli [France]

Source :

RBID : Hal:hal-00760764

English descriptors

Abstract

Semantic indexing and retrieval is an important research area, as the available amount of information on the Web is growing more and more. In this paper, we introduce an original approach to semantic indexing and retrieval based on Formal Concept Analysis. The concept lattice is used as a semantic index and we propose an original algorithm for traversing the lattice and answering user queries. This framework has been used and evaluated on a song dataset.

Url:


Affiliations:


Links toward previous steps (curation, corpus...)


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