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所属单位：计算机科学与技术学院/人工智能学院/软件学院

发表刊物：FUZZY SETS AND SYSTEMS

关键字：Heterogeneous data Integration Fuzzy XML Structural similarity Semantic similarity

摘要：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号：0165-0114

是否译文：否

发表时间：2018-11-15

合写作者：Zhao, Zhen,严丽

通讯作者：马宗民