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2007
Springer

VERT: A Semantic Approach for Content Search and Content Extraction in XML Query Processing

9 years 6 months ago
VERT: A Semantic Approach for Content Search and Content Extraction in XML Query Processing
Processing a twig pattern query in XML document includes structural search and content search. Most existing algorithms only focus on structural search. They treat content nodes the same as element nodes during query processing with structural joins. Due to the high variety of contents, to mix content search and structural search suffers from management problem of contents and low performance. Another disadvantage is to find the actual values asked by a query, they have to rely on the original document. In this paper, we propose a novel algorithm V alue Extraction with Relational Table (V ERT) to overcome these limitations. The main technique of V ERT is introducing relational tables to store document contents instead of treating them as nodes and labeling them. Tables in our algorithm are created based on semantic information of documents. As more semantics is captured, we can further optimize tables and queries to significantly enhance efficiency. Last, we show by experiments that...
Huayu Wu, Tok Wang Ling, Bo Chen
Added 07 Jun 2010
Updated 07 Jun 2010
Type Conference
Year 2007
Where ER
Authors Huayu Wu, Tok Wang Ling, Bo Chen
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