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Locating and Ranking XML Documents Based on Content and Structure Synopses

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Database and Expert Systems Applications (DEXA 2007)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4653))

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Abstract

We present a new framework for indexing, locating and ranking XML documents based on content and structural synopses extracted from the documents. Instead of indexing each single element or term in a document, we extract a structural summary and a small number of data synopses from the document, which are indexed in an efficient way suitable for query evaluation. Our query language is XPath extended with full-text search. The result of query evaluation is a ranked list of document locations that best match the query. We propose a novel aggregated ranking scheme, which is integrated into the query evaluation to score the documents based on those data synopses. Our experimental evaluation shows that our indexing scheme outperforms the standard XML indexing scheme based on inverted lists and our ranking scheme is effective in terms of precision and recall.

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Roland Wagner Norman Revell Günther Pernul

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© 2007 Springer-Verlag Berlin Heidelberg

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He, W., Fegaras, L., Levine, D. (2007). Locating and Ranking XML Documents Based on Content and Structure Synopses. In: Wagner, R., Revell, N., Pernul, G. (eds) Database and Expert Systems Applications. DEXA 2007. Lecture Notes in Computer Science, vol 4653. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74469-6_54

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  • DOI: https://doi.org/10.1007/978-3-540-74469-6_54

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74467-2

  • Online ISBN: 978-3-540-74469-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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