Statistical Language Models for Intelligent XML Retrieval

Djoerd Hiemstra

doi:10.1007/978-3-540-45194-5_7

Statistical Language Models for Intelligent XML Retrieval

Djoerd Hiemstra

Databases (Former)

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

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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 language	English
Title of host publication	Intelligent Search on XML Data
Subtitle of host publication	Applications, Languages, Models, Implementations, and Benchmarks
Editors	Henk Blanken, Torsten Grabs, Hans-Jörg Schek, Ralf Schenkel, Gerhard Weikum
Place of Publication	Berlin
Publisher	Springer
Pages	107-118
Number of pages	15
ISBN (Print)	978-3-540-40768-3
DOIs	https://doi.org/10.1007/978-3-540-45194-5_7
Publication status	Published - 2003

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	2818
ISSN (Print)	0302-9743

Keywords

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

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10.1007/978-3-540-45194-5_7

Cite this

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Statistical Language Models for Intelligent XML Retrieval. / Hiemstra, Djoerd.
Intelligent Search on XML Data: Applications, Languages, Models, Implementations, and Benchmarks. ed. / Henk Blanken; Torsten Grabs; Hans-Jörg Schek; Ralf Schenkel; Gerhard Weikum. Berlin: Springer, 2003. p. 107-118 (Lecture Notes in Computer Science; Vol. 2818).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

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Statistical Language Models for Intelligent XML Retrieval

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Keywords

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