Abstract
In this paper we propose a technique for evaluating similarity of XML Schema fragments. Firstly, we define classes of structurally and semantically equivalent XSD constructs. Then we propose a similarity measure that is based on the idea of edit distance utilized to XSD constructs and enables one to involve various additional similarity aspects. In particular, we exploit the equivalence classes and semantic similarity of element/attribute names. Using preliminary experiments we show the behavior and advantages of the proposal.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Bertino, E., Guerrini, G., Mesiti, M.: A Matching Algorithm for Measuring the Structural Similarity between an XML Document and a DTD and its Applications. Inf. Syst. 29(1), 23–46 (2004)
Biron, P.V., Malhotra, A.: XML Schema Part 2: Datatypes, 2nd edn. W3C (2004)
Bray, T., Paoli, J., Sperberg-McQueen, C.M., Maler, E., Yergeau, F.: Extensible Markup Language (XML) 1.0, 4th edn. W3C (2006)
Do, H.H., Rahm, E.: COMA – A System for Flexible Combination of Schema Matching Approaches. In: VLDB 2002: Proc. of the 28th Int. Conf. on Very Large Data Bases, Hong Kong, China, pp. 610–621. Morgan Kaufmann, San Francisco (2002)
Lee, M.L., Yang, L.H., Hsu, W., Yang, X.: XClust: Clustering XML Schemas for Effective Integration. In: CIKM 2002: Proc. of the 11th Int. Conf. on Information and Knowledge Management, New York, NY, USA, pp. 292–299. ACM, New York (2002)
Levenshtein, V.I.: Binary Codes Capable of Correcting Deletions, Insertions and Reversals. Soviet Physics Doklady 10, 707 (1966)
Mlynkova, I., Toman, K., Pokorny, J.: Statistical Analysis of Real XML Data Collections. In: COMAD 2006: Proc. of the 13th Int. Conf. on Management of Data, New Delhi, India, pp. 20–31. Tata McGraw-Hill Publishing, New York (2006)
Ng, P.K.L., Ng, V.T.Y.: Structural Similarity between XML Documents and DTDs. In: ICCS 2003: Proc. of the Int. Conf. on Computational Science, pp. 412–421. Springer, Heidelberg (2003)
Nierman, A., Jagadish, H.V.: Evaluating Structural Similarity in XML Documents. In: WebDB 2002: Proc. of the 5th Int. Workshop on the Web and Databases, Madison, Wisconsin, USA, pp. 61–66 (2002)
Shanmugasundaram, J., Tufte, K., Zhang, C., He, G., DeWitt, D.J., Naughton, J.F.: Relational Databases for Querying XML Documents: Limitations and Opportunities. In: VLDB 1999: Proc. of 25th Int. Conf. on Very Large Data Bases, pp. 302–314. Morgan Kaufmann, San Francisco (1999)
Thompson, H.S., Beech, D., Maloney, M., Mendelsohn, N.: XML Schema Part 1: Structures, 2nd edn. W3C (2004)
Zhang, Z., Li, R., Cao, S., Zhu, Y.: Similarity Metric for XML Documents. In: FGWM 2003: Proc. of Workshop on Knowledge and Experience Management, Karlsruhe, Germany (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Mlýnková, I. (2008). Equivalence of XSD Constructs and Its Exploitation in Similarity Evaluation. In: Meersman, R., Tari, Z. (eds) On the Move to Meaningful Internet Systems: OTM 2008. OTM 2008. Lecture Notes in Computer Science, vol 5332. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88873-4_24
Download citation
DOI: https://doi.org/10.1007/978-3-540-88873-4_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-88872-7
Online ISBN: 978-3-540-88873-4
eBook Packages: Computer ScienceComputer Science (R0)