Possibilistic model for aggregated search in XML documents. (1st January 2012)

• Record Type: Journal Article
• Authors: Bessai-Mechmache, Fatma Zohra; Alimazighi, Zaia
• Is Part Of: International journal of intelligent information and database systems. Volume 6:Number 4(2012)
• Page Start: 381
• Page End: 404
• Publication Date: 2012-01-01
• Subjects: possibilistic network -- aggregated search -- XML information retrieval -- XML document -- aggregate -- complementarity -- independence; Database management -- Computer programs -- Periodicals; Information retrieval -- Computer programs -- Periodicals; Information storage and retrieval systems -- Computer programs -- Periodicals; Artificial intelligence -- Periodicals; Expert systems (Computer science) -- Periodicals; Intelligent agents (Computer software) -- Periodicals; 006.33
• Languages: English
• ISSNs: 1751-5858

Abstract

In this paper, we are interested in content-oriented XML information retrieval which aims to retrieve not a set of relevant documents but a number of elements (parts of document) relevant to a query. Our goal is to revisit the granularity of the unit to be returned. More precisely, instead of returning the whole document or a list of disjoint elements of a document, as it is usually done in the most XML information retrieval systems, we attempt to build the best elements aggregation (set of non-redundant elements) which is likely to be relevant to a query composed of key words. Our approach is based on possibilistic networks. The network structure provides a natural representation of links between a document, its elements and its content, and allows an automatic selection of a combination of independent elements (i.e., set of non-redundant elements from different parts of the document tree) that better answers the user's query. Experiments carried out on a sub-collection of INEX INitiative for the evaluation of XML (INEX) retrieval, showed the effectiveness of the approach.