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Permanent URI for this collectionhttp://dl.cerist.dz/handle/CERIST/34

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    Deal with multiplicity and diversity of relevance factors in XML retrieval
    (CERIST, 2010) Bal, Kamal; Nouali, Omar
    In this paper, we are interested in content oriented XML information retrieval whose aim is to retrieve not a list of relevant documents, but only fragments of document (XML element) relevant to the user information need. Retrieved XML elements must not only contain relevant information but also be at good level of granularity. The coexistence of content and structural information in XML documents makes that multiple and diverse relevance sources condition the selection and the rank of relevant XML element. It is admitted that the consideration of several relevance sources will surely improve quality of results. However, actual XML retrieval approaches consider just some relevance sources and neglect others due to relevance sources heterogeneity. In this paper, we try to identify and classify theses relevance sources and to propose a way to exploit multiple and diverse relevance sources in retrieval process.
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    Content-Oriented XML Retrieval with partial aggregation of relevance factors
    (CERIST, 2009-12) Bal, Kamal; Nouali, Omar
    In this paper, we are interested in content oriented XML information retrieval whose aim is to retrieve not a list of relevant documents, but only fragments of document (XML element) relevant to the user information need. Retrieved XML elements must not only contain relevant information but also be at good level of granularity. Retrieved elements must cover as well as the information need and be focused on this need (does not speak other non relevant topics). The majority of approaches developed in this context consider some relevance factors and aggregate theme globally to have a unique value called rsv (retrieval status value) for each element. We present in this paper an approach of XML retrieval where factor’s aggregation is done not on relevance factor’s values level but on relevance factor’s preference relations which models each factor.