XML-SIM: Structure and Content Semantic Similarity Detection using Keys

Author

Waraporn Viyanon
Sanjay K. Madria, Missouri University of Science and TechnologyFollow

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. © Springer-Verlag 2009.

Recommended Citation

W. Viyanon and S. K. Madria, "XML-SIM: Structure and Content Semantic Similarity Detection using Keys," Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5871 LNCS, no. PART 2, pp. 1183 - 1200, Springer, Dec 2009.

The definitive version is available at https://doi.org/10.1007/978-3-642-05151-7_31

Department(s)

Computer Science

Keywords and Phrases

Clustering; Keys; Matching; XML similarity detection

International Standard Book Number (ISBN)

978-364205150-0

International Standard Serial Number (ISSN)

1611-3349; 0302-9743

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2024 Springer, All rights reserved.

Publication Date

01 Dec 2009