Abstract
In this paper we propose a semi-automatic technique for deriving similarities between XML sub-schemas. The proposed technique is specific for XML, almost automatic and light. It consists of two phases: the former one selects the most promising pairs of sub-schemas; the latter one examines them and returns only the similar ones. In the paper we discuss some possible applications that can benefit of derived sub-schema similarities and we illustrate some experiments we have conducted for testing the validity of our approach. Finally, a comparison of the proposed approach with some related ones already presented in the literature, as well as a real example case aiming at better clarifying it, are presented.
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De Meo, P., Quattrone, G., Terracina, G., Ursino, D. (2004). Deriving Sub-schema Similarities from Semantically Heterogeneous XML Sources. In: Meersman, R., Tari, Z. (eds) On the Move to Meaningful Internet Systems 2004: CoopIS, DOA, and ODBASE. OTM 2004. Lecture Notes in Computer Science, vol 3290. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30468-5_15
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DOI: https://doi.org/10.1007/978-3-540-30468-5_15
Publisher Name: Springer, Berlin, Heidelberg
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