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Towards an intelligent possibilistic web information retrieval using multiagent system.

Elayeb, Bilel and Evrard, Fabrice and Zaghdoud, Montaceur and Ben Ahmed, Mohamed Towards an intelligent possibilistic web information retrieval using multiagent system. (2009) Interactive Technology and Smart Education, 6 (1). 40-59. ISSN 1741-5659

(Document in English)

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Official URL: http://dx.doi.org/10.1108/17415650910965191


PURPOSE - The purpose of this paper is to make a scientific contribution to web information retrieval (IR). Design/methodolog y/approach – A multiagent system for web IR is proposed based on new technologies: Hierarchical Small-Worlds (HSW) and Possibilistic Networks (PN). This system is based on a possibilistic qualitative approach which extends the quantitative one. FINDINGS – The paper finds that the relevance of the order of documents changes while passing from a profile to another. Even if the selected terms tend to select the relevant document, these terms are not the most frequent of the document. This criterion shows the asset of the qualitative approach of the SARIPOD system in the selection of relevant documents. The insertion of the factors of preference between query terms in the calculations of the possibility and the necessity consists in increasing the scores of possibilistic relevance of the documents containing these terms with an aim of penalizing the scores of relevance of the documents not containing them. The penalization and the increase in the scores are proportional to the capacity of the terms to discriminate between the documents of the collection. RESEARCH LIMITATIONS/IMPLICATIONS – It is planned to extend the tests of the SARIPOD system to other grammatical categories, like refining the approach for the substantives by considering for example, the verbal occurrences in names definitions, etc. Also, it is planned to carry out finer measurements of the performances of SARIPOD system by extending the tests with other types of web documents. PRACTICAL IMPLICATIONS – The system can be useful to help research students find their relevant scientific papers. It must be located in the document server of any research laboratory. ORIGINALITY/VALUE – The paper presents SARIPOD, a new qualitative possibilistic model for web IR using multiagent system

Item Type:Article
Additional Information:This paper appears in the Special issue: New learning support systems. Thanks to Emerald Group Publishing Limited editor. The definitive version is available at http://www.emeraldinsight.com/doi/abs/10.1108/17415650910965191
HAL Id:hal-03561226
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Other partners > Université de la Manouba - UMA (TUNISIA)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Laboratory name:
Deposited On:06 Mar 2015 15:09

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