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Supporting efficient grouping and summary information for semistructured digital libraries

Title
Supporting efficient grouping and summary information for semistructured digital libraries
Authors
Lee M.Song S.Kim Y.Shin H.
Ewha Authors
이민수
SCOPUS Author ID
이민수scopus
Issue Date
2006
Journal Title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN
0302-9743JCR Link
Citation
vol. 4312 LNCS, pp. 400 - 409
Indexed
SCOPUS scopus
Abstract
XML is the most popular platform-independent data expression language which is used to specify various digital content such as web content, multimedia content, bio-chemical data, etc. These various forms of XML data are continuously increasing by a large amount and there is a strong demand on effectively managing such data in digital libraries or archives. The most popular query language to search and retrieve information from such semi-structured XML digital libraries is XQuery. XQuery has a very powerful syntax which allows users to iterate over data items and perform calculation, string matching, and output formatting. However, it lacks a simple and easy way to group and provide summaries on vast amounts of XML data. This grouping and summary function is especially important for large digital archives where users like to obtain an overview or summary of the contents in the digital library. Our work is focused on providing an easy way for grouping in XQuery at the query language level. We provide several cases where this can be considered to be effective. We have also implemented an XQuery processing system with grouping functions based on the eXist Native XML Database. © Springer-Verlag Berlin Heidelberg 2006.
ISBN
3540493751; 9783540493754
Appears in Collections:
엘텍공과대학 > 컴퓨터공학과 > Journal papers
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