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Title:Probabilistic visual relational data extraction
Author(s):Bui, Ngoc T.
Advisor(s):Chang, Kevin C-C.
Department / Program:Computer Science
Discipline:Computer Science
Degree Granting Institution:University of Illinois at Urbana-Champaign
Subject(s):Data extraction
probabilistic model
visual feature
binary visual relation
Abstract:This paper studies the problem of wrapper generation and proposes the concept of visual-relational data extraction as the foundation for modeling wrappers. Towards large scale integration, we identify the key requirements of wrapper deployment, and observe the limitations of the state of the art| which inherently result from their low-level wrapper modeling. We thus propose the visual-relational modeling and develop the execution and learning mechanisms. Our experiments show signi cant improvements towards satisfying the accuracy and consistency requirements.
Issue Date:2011-01-21
Rights Information:Copyright 2010 Ngoc Bui
Date Available in IDEALS:2011-01-21
Date Deposited:2010-12

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