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]).
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Hiemstra, D. (2003). Statistical Language Models for Intelligent XML Retrieval. In: Blanken, H., Grabs, T., Schek, HJ., Schenkel, R., Weikum, G. (eds) Intelligent Search on XML Data. Lecture Notes in Computer Science, vol 2818. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45194-5_7
Download citation
DOI: https://doi.org/10.1007/978-3-540-45194-5_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40768-3
Online ISBN: 978-3-540-45194-5
eBook Packages: Springer Book Archive