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System of Information Retrieval in XML Documents

System of Information Retrieval in XML Documents
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Author(s): Saliha Smadhi (Universite de Pau, France)
Copyright: 2003
Pages: 11
Source title: Effective Databases for Text & Document Management
Source Author(s)/Editor(s): Shirley Becker (Northern Arizona University, USA)
DOI: 10.4018/978-1-93177-747-6.ch001

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Abstract

This chapter introduces the process to retrieve units (or subdocuments) of relevant information from XML documents. For this, we use the Extensible Markup Language (XML) which is considered as a new standard for data representation and exchange on the Web. XML opens opportunities to develop a new generation of Information Retrieval System (IRS) to improve the interrogation process of document bases on the Web. Our work focuses instead on end-users who do not have expertise in the domain (like a majority of the end-users). This approach supports keyword-based searching like classical IRS and integrates structured searching with the search attributes notion. It is based on an indexing method of document tree leafs which authorize a content-oriented retrieval. The retrieval subdocuments are ranked according to their similarity with the user’s query. We use a similarity measure which is a compromise between two measures: exhaustiveness and specificity.

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