Statistical Language Models for Intelligent XML Retrieval

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Abstract

The XML standards that are currently emerging have a number of characteristics that can also be found in database management systems, like schemas (DTDs and XML schema) and query languages (XPath and XQuery). Following this line of reasoning, an XML database might resemble traditional database systems. However, XML is more than a language to mark up data; it is also a language to mark up textual documents. In this chapter we specifically address XML databases for the storage of `document-centric' XML (as opposed to `data-centric' XML [42]).
Original languageEnglish
Title of host publicationIntelligent Search on XML Data
Subtitle of host publicationApplications, Languages, Models, Implementations, and Benchmarks
EditorsHenk Blanken, Torsten Grabs, Hans-Jörg Schek, Ralf Schenkel, Gerhard Weikum
Place of PublicationBerlin
PublisherSpringer
Pages107-118
Number of pages15
ISBN (Print)978-3-540-40768-3
DOIs
Publication statusPublished - 2003

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume2818
ISSN (Print)0302-9743

Keywords

  • EWI-8101
  • IR-66590
  • DB-IR: INFORMATION RETRIEVAL

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    Hiemstra, D. (2003). Statistical Language Models for Intelligent XML Retrieval. In H. Blanken, T. Grabs, H-J. Schek, R. Schenkel, & G. Weikum (Eds.), Intelligent Search on XML Data: Applications, Languages, Models, Implementations, and Benchmarks (pp. 107-118). (Lecture Notes in Computer Science; Vol. 2818). Berlin: Springer. https://doi.org/10.1007/978-3-540-45194-5_7