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    Matching XML documents at structural and conceptual level using subtree patterns

    Access Status
    Fulltext not available
    Authors
    Pan, Qi Hua
    Hadzic, Fedja
    Dillon, Tharam
    Date
    2011
    Type
    Book Chapter
    
    Metadata
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    Citation
    Pan, Qi Hua and Hadzic, Fedja and Dillon, Tharam S. 2012. Matching XML documents at structural and conceptual level using subtree patterns, in Andrea Tagarelli (ed), XML data mining: models, methods, and applications, pp. 378-423. Hershey, PA: Information Science Reference.
    Source Title
    XML data mining: models, methods, and applications
    ISBN
    9781613503560
    School
    Centre for Extended Enterprises and Business Intelligence
    URI
    http://hdl.handle.net/20.500.11937/28069
    Collection
    • Curtin Research Publications
    Abstract

    Knowledge matching is an important problem for many emerging applications in many areas including scientific knowledge management, ontology matching, e-commerce, and enterprise application integration. Matching the concepts of heterogeneous knowledge representations is very challenging due to the difficulty of taking contextual information into account and detecting complex matches. In this chapter, we describe a knowledge matching approach that uses subtree patterns to utilize structural information for matching at the conceptual and structural level. Initially, the algorithm does not take any syntactic information into account, but rather forms candidate mappings according to their structural/contextual relationships in the knowledge structures, which are then validated using online dictionaries and string similarity measures. The approach will then automatically extract the knowledge structure that is shared among all the matched knowledge representations. Experimental evaluation is performed on a number of real world XML schemas, which demonstrates the effectiveness of the proposed approach.

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