Indexing useful structural patterns for XML query processing
Wang Lian
Mamoulis, N.
Cheung, D.W.
Yiu, S.M.
Fac. of Inf. Technol., Macao Univ. of Sci. & Technol., China;
This paper appears in: Knowledge and Data Engineering, IEEE Transactions on
Publication Date: July 2005
Volume: 17,
Issue: 7
On page(s): 997- 1009
ISSN: 1041-4347
INSPEC Accession Number: 8475640
Digital Object Identifier: 10.1109/TKDE.2005.110
Current Version Published: 2005-05-23
Abstract
Queries on semistructured data are hard to process due to the complex nature of the data and call for specialized techniques. Existing path-based indexes and query processing algorithms are not efficient for searching complex structures beyond simple paths, even when the queries are high-selective. We introduce the definition of minimal infrequent structures (MIS), which are structures that 1) exist in the data, 2) are not frequent with respect to a support threshold, and 3) all substructures of them are frequent. By indexing the occurrences of MIS, we can efficiently locate the high-selective substructures of a query, improving search performance significantly. An efficient data mining algorithm is proposed, which finds the minimal infrequent structures. Their occurrences in the XML data are then indexed by a lightweight data structure and used as a fast filter step in query evaluation. We validate the efficiency and applicability of our methods through experimentation on both synthetic and real data.
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