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A filtered retrieval technique for structural information

Authors
Park Y.-H.Yoon Y.-I.Lee J.-W.
Issue Date
Nov-2007
Publisher
Springer Verlag
Citation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v.4413 LNAI, pp.219 - 228
Journal Title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume
4413 LNAI
Start Page
219
End Page
228
URI
https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/14962
DOI
10.1007/978-3-540-77368-9_22
ISSN
0302-9743
Abstract
We present a filtered retrieval technique for structural information on internet-scale knowledge such as large-scale XML data in the Web. The technique evaluates XML standard queries on heterogeneous XML documents using information retrieval technique based on the relational tables in relational database management systems. The XML standard queries, XPath queries, in their general form are partial match queries, and these queries are particularly useful for searching documents of heterogeneous schemas. Thus, our technique is geared for partial match queries expressed as the queries. This indexes the elements in label paths, which are sequences of node labels, like keywords in texts, and finds the label paths matching a given query. © Springer-Verlag Berlin Heidelberg 2007.
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