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Autoria: • Fábio A. S. Silva
• Rosario Girardi
• Lucas Drumond
Título: A Knowledge-Based Retrieval Model
Complemento: Proceedings of the 21st International Conference on Software Engineering and Knowledge Engineering
Resumo: Several techniques for extracting meaning from text in
order to construct more accurate internal representations of both queries and information items in retrieval systems have been already proposed. However, there is a lack of semantic retrieval models to provide appropriate abstractions of these techniques. This article proposes a knowledge–based information retrieval model that explores the semantic content
of information items. The internal representation of
information items is based on user interest groups, called “semantic cases”. The model also defines a similarity measure for ordering the results based on the semantic distance between semantic cases items. An initial experiment evaluating the model is also described.
Palavras-chave: information retrieval; semantic information retrieval; semantic web
Editora: Knowledge Engineering Institute
Catalogação: ISBN 1891706241
Páginas: 558-563
Data: 01 a 03 de julho de 2009
Meio: Anais de eventos
Vínculo: www.ksi.edu/seke/seke09.html
Arquivo: seke2009cameraready.zip


Atualizado em 03/11/2016
UNIVERSIDADE FEDERAL DO MARANHÃO
CENTRO DE CIÊNCIAS EXATAS E TECNOLOGIA
DEPARTAMENTO DE INFORMÁTICA