XIRQL: a query language for information retrieval in XML documents
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
A survey in indexing and searching XML documents
Journal of the American Society for Information Science and Technology - XML
Querying and ranking XML documents
Journal of the American Society for Information Science and Technology - XML
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SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
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ACM Transactions on Information Systems (TOIS)
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FQAS'06 Proceedings of the 7th international conference on Flexible Query Answering Systems
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We develop a framework for representing XML documents and queries in vector spaces and build indexes for processing text-centric semi-structured queries that support a proximity measure between XML documents. The idea of using vector spaces for XML retrieval is not new. In this paper we (i) unify prior approaches into a single framework; (ii) develop techniques to eliminate special purpose auxiliary computations (outside the vector space) used previously; (iii) give experimental evidence on benchmark queries that our approach is competitive in its retrieval quality and (iv) as an immediate consequence of the framework, are able to classify and cluster XML documents.