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

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

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.

Citation

Shen, Y., Feng, L., Shen, T., & Wang, B. (2004). A self-adaptive scope allocation scheme for labeling dynamic XML documents. Springer Publishing Company. https://doi.org/10.1007/978-3-540-30075-5_78

• Book Type: Book Chapter
• Conference Name: Database and Expert Systems Applications. DEXA 2004
• Publication Date: Dec 31, 2004
• 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
• DOI: https://doi.org/10.1007/978-3-540-30075-5_78
• Keywords: Prior distribution; Prior information; Child node; Beta distribution; Sibling node
• Public URL: https://hull-repository.worktribe.com/output/391167
• Publisher URL: https://link.springer.com/chapter/10.1007/978-3-540-30075-5_78
• Contract Date: Dec 31, 2004