| Publisher | Association for Computing Machinery | ||
|---|---|---|---|
| Format | 345.9KB PDF | Date added | 15 Sep 2006 |
| Topics | XML, Database Management | ||
| Downloads | 8 | ||
Indexing large XML databases is crucial for efficient evaluation of XML twig queries. This paper proposes a feature-based indexing technique, called FIX, based on spectral graph theory. The basic idea is that for each twig pattern in a collection of XML documents, the paper calculates a vector of features based on its structural properties. These features are used as keys for the patterns and stored in a B+ tree. Given an XPath query, its feature vector is first calculated and looked up in the index. Then a further refinement phase is performed to fetch the final results. The paper experimentally studies the indexing technique over both synthetic and real data sets.
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