Semantic and Conceptual Context-Aware Information Retrieval

Authors:
Bénédicte Grand;Marie-Aude Aufaure;Michel Soto
Affiliations:
Laboratoire d'Informatique de Paris 6, Paris, F-75015;Supélec --- Computer Science department --- plateau du Moulon, Gif sur Yvette Cedex, F-91192 and Axis Research Team --- INRIA --- Domaine de Voluceau, Le Chesnay, F-78 153;Laboratoire d'Informatique de Paris 6, Paris, F-75015
Venue:
Advanced Internet Based Systems and Applications
Year:
2009

Citing 7
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Abstract

This paper presents an information retrieval methodology which uses Formal Concept Analysis in conjunction with semantics to provide contextual answers to Web queries The conceptual context defined in this article can be global - i.e. stable- or instantaneous - i.e. bounded by the global context. Our methodology consists first in a pre-treatment providing the global conceptual context and then in an online contextual processing of users' requests, associated to an instantaneous context. Our information retrieval process is illustrated through experimentation results in the tourism domain. One interest of our approach is to perform a more relevant and refined information retrieval, closer to the users' expectation.