2002•Unpublished venueRequires access
An Extension of the Vector Space Model for Querying XML Documents via XML Fragments 1
David Carmel, Nadav Efraty, Gad M. Landau, Yoelle Maarek, Yosi Mass
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Abstract
To date, most of the work on XML query and search has stemmed from the document management and database communities and from the information needs of business applications, as evidenced by existing XML query languages such as W3C's XQuery, which is strongly inspired by SQL. We propose here to extend the realm of XML by supporting the information needs of users wishing to query XML collections in a flexible way without knowing much about the documents structure. Rather than inventing a new query language, we suggest to query XML documents via pieces of XML documents or “XML fragments ” of the same nature as the documents that are queried. We then present an extension of the vector space model for searching XML collections and ranking search results by relevance 1