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A self-adaptive scope allocation scheme for labeling dynamic XML documents

Shen, Yun; Feng, Ling; Shen, Tao; Wang, Bing

Authors

Yun Shen

Ling Feng

Tao Shen

Abstract

This paper proposes a self adaptive scope allocation scheme for labeling dynamic XML documents. It is general, light-weight and can be built upon existing data retrieval mechanisms. Bayesian inference is used to compute the actual scope allocated for labeling a certain node based on both the prior information and the actual document. Through extensive experiments, we show that the proposed Bayesian allocation model can practically and significantly improve the performance of the conventional fixed scope allocation models.

Book Type Book Chapter
Publication Date Dec 31, 2004
Journal DATABASE AND EXPERT SYSTEMS APPLICATIONS, PROCEEDINGS
Publisher Springer Publishing Company
Volume 3180
Pages 811-821
Series Title Lecture Notes in Computer Science
Series Number 3180
Book Title Database and Expert Systems Applications. DEXA 2004.
ISBN 9783540229360; 9783540300755
Institution Citation Shen, Y., Feng, L., Shen, T., & Wang, B. (2004). A self-adaptive scope allocation scheme for labeling dynamic XML documents. Springer Publishing Company. doi:10.1007/978-3-540-30075-5_78
DOI https://doi.org/10.1007/978-3-540-30075-5_78
Keywords Prior distribution; Prior information; Child node; Beta distribution; Sibling node
Publisher URL https://link.springer.com/chapter/10.1007/978-3-540-30075-5_78