Semantic and Conceptual Context-Aware Information Retrieval

Bénédicte Le Grand 1 Marie-Aude Aufaure 2 Michel Soto 3
1 NPA - Networks and Performance Analysis
LIP6 - Laboratoire d'Informatique de Paris 6
2 SUPELEC-Campus Gif
3 LIP6 - Laboratoire d'Informatique de Paris 6
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.
Document type :
Conference papers
Complete list of metadatas
https://hal-supelec.archives-ouvertes.fr/hal-00260983
Contributor : Evelyne Faivre <>
Submitted on : Thursday, March 6, 2008 - 8:30:44 AM
Last modification on : Thursday, March 21, 2019 - 1:20:13 PM

Identifiers

  • HAL Id : hal-00260983, version 1

Collections

SUPELEC | LIP6 | UPMC | SORBONNE-UNIVERSITE | SU-SCIENCES

Citation

Bénédicte Le Grand, Marie-Aude Aufaure, Michel Soto. Semantic and Conceptual Context-Aware Information Retrieval. IEEE/ACM International Conference on Signal-Image Technology & Internet-Based Systems. (SITIS 2006), Dec 2006, Hammamet, Tunisia. pp.322-332. ⟨hal-00260983⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

191

Contact

CCSD