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Chapter 16

Matching XML Documents at Structural and Conceptual Level using Subtree Patterns

Qi Hua Pan

Curtin University, Australia

Fedja Hadzic

Curtin University, Australia

Tharam S. Dillon

Curtin University, Australia

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 ...

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