Bilel Elayeb

Towards an intelligent possibilistic web information retrieval using multiagent system

Purpose – The purpose of this paper is to make a scientific contribution to web information retrieval (IR).Design/methodology/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 no...

ArabOnto: experimenting a new distributional approach for building Arabic ontological resources

Ontologies are useful for modelling and retrieving knowledge in complex information systems. Ontology construction environments use statistical and linguistic information to extract knowledge from corpora. Within the great improvement in this field, there is a need to introduce the Arabic language in these environments. We present the ArabOnto architecture modelling the process of Arabic ontology extraction from corpora. ArabOnto focuses on linguistic issues related to Arabic term extraction and linking (i.e. from morphosyntactic parsing to clustering). We experiment our system by testing several alternatives on three domains. Besides, our ontologies are validated in the context of an information retrieval system.