Affiliation of Author(s):计算机科学与技术学院/人工智能学院/软件学院
Journal:FUZZY SETS AND SYSTEMS
Key Words:Heterogeneous data Integration Fuzzy XML Structural similarity Semantic similarity
Abstract:Web data integration has become a crucial requirement for Web data management. A considerable number of approaches for integrating Extensible Markup Language (XML) data from heterogeneous data sources have been proposed. Yet these existing approaches are not fit for integration of fuzzy XML data because of their fuzzy characteristics. In this article, we provide a framework to deal with fuzzy XML document integration. Firstly, we propose a new fuzzy XML tree model. Secondly, we present an effective algorithm based on the tree edit distance to identify the structural and semantic similarities between the fuzzy documents represented in the proposed fuzzy XML tree model. Thirdly, we propose an integration strategy that is applied to integrate the fuzzy documents from different data sources. Finally, we conduct experiments to demonstrate that our approach can efficiently integrate fuzzy XML documents. (C) 2018 Elsevier B.V. All rights reserved.
ISSN No.:0165-0114
Translation or Not:no
Date of Publication:2018-11-15
Co-author:Zhao, Zhen,yanli
Correspondence Author:mazongmin
Date of Publication:2018-11-15