A Self-Adaptive Scope Allocation Scheme for Labeling Dynamic XML Documents

Y. Shen, L. Feng, T. Shen, B. Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)

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.
Original languageEnglish
Title of host publicationDatabase and Expert Systems Applications
Subtitle of host publication15th International Conference, DEXA 2004, Zaragoza, Spain, August 30-September 3, 2004. Proceedings
EditorsFernando Galindo, Makoto Takizawa, Roland Traunmuller
PublisherSpringer
Pages811-821
Number of pages10
ISBN (Electronic)978-3-540-30075-5
ISBN (Print)978-3-540-22936-0
DOIs
Publication statusPublished - 2004
Event15th International Conference on Database and Expert Systems Applications, DEXA 2004 - Zaragoza, Spain
Duration: 30 Aug 20043 Sep 2004
Conference number: 15

Publication series

NameLecture Notes in Computer Science
Volume3180

Conference

Conference15th International Conference on Database and Expert Systems Applications, DEXA 2004
Abbreviated titleDEXA
CountrySpain
CityZaragoza
Period30/08/043/09/04

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