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XML-SIM: Structure and Content Semantic Similarity Detection Using Keys
Waraporn Viyanon and Sanjay K. Madria
Department of Computer Science, Missouri University of Science and Technology, Rolla, Missouri, USAwvz7b@mst.edu
madrias@mst.edu
Abstract. This paper describes an approach for the structure and content semantic similarity detection between two XML documents from heterogeneous data sources using the notion of keys. Comparisons with the previous systems (XDoI and XDI-CSSK) are presented to show that our new approach has a better performance by a big order of magnitude in terms of detection, false-positives and execution time.
Keywords: XML Similarity Detection, keys, clustering, matching
LNCS 5871, p. 1183 ff.
lncs@springer.com
© Springer-Verlag Berlin Heidelberg 2009