Contributions à une nouvelle approche de Recherche d'Information basée sur la métaphore de l'impédance et illustrée sur le domaine de la santé

Abstract : The recent developments in information and communication technologies along with the growth of the Internet have lead to the explosion of data source volumes. This has created many growing needs such as in information retrieval to: treat the information according to its usage context, to increase the relevance of answers and the usability of results, and to increase the potential correlations between results, which can be done by making the heterogeneities and source distribution transparent. Our contributions consist in designing a NARI (New Approach to Information Retrieval) for decision-making. NARI is designed to operate on large amounts of catalogued and heterogeneous data that can be geo-referenced. It is based on quality preliminary requirements expressed by users, which are represented and managed using metadata. These requirements lead to the lack of data or their insufficient quality in relation to decision-making needs. Using the users' perspective, we identify and/or prepare the data sources, before integration step processing. NARI's originality relies on the metaphor of the impedance mismatch (classical phenomenon when we try to connect two physical heterogeneous systems), due to R. Jeansoulin. This metaphor, as well as the attention paid to regulatory framework (standardization), guides the design of NARI. The geographical dimension structures NARI, taking into account various territorial levels, correlations between several themes. Thus, it takes advantage of spatial analysis techniques, by automating information retrieval tasks, often implicitly made by policy makers. NARI is based on data integration techniques (mediation, data warehouses), knowledge representation languages and a set of Semantic Web technologies and tools, adapted to support the scalability, robustness and generalization theory of the approach. NARI is illustrated on examples relevant to the health domain
Document type :
Theses
Computer Science [cs]. Université Paris-Est, 2009. French. <NNT : 2009PEST1037>


https://tel.archives-ouvertes.fr/tel-00581322
Contributor : ABES STAR <>
Submitted on : Wednesday, March 30, 2011 - 4:14:06 PM
Last modification on : Friday, July 4, 2014 - 11:35:33 PM

File

GUEMEIDA.pdf
fileSource_public_star

Identifiers

  • HAL Id : tel-00581322, version 1

Collections

Citation

Abdelbasset Guemeida. Contributions à une nouvelle approche de Recherche d'Information basée sur la métaphore de l'impédance et illustrée sur le domaine de la santé. Computer Science [cs]. Université Paris-Est, 2009. French. <NNT : 2009PEST1037>. <tel-00581322>

Export

Share

Metrics

Consultation de
la notice

204

Téléchargement du document

74