Abstract
In this chapter we illustrate our approach for extracting object cluster similarities. More in particular, the plan of the chapter is as follows: in the first section we illustrate the general characteristics of the approach; in particular we show that it is analogous to that used for deriving synonymies, homonymies and type conflicts. The second section illustrates the approach in all details. After it has been deeply illustrated, in the third section, we provide a complete example showing how it works. In the last section of the chapter we compute the complexity of the presented algorithms and we prove that they are polynomial w.r.t. the number of objects belonging to the involved schemes.
The material presented in this chapter is taken from [92,122,87,90,117,118].
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© 2002 Springer-Verlag Berlin Heidelberg
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(2002). Extraction of Object Cluster Similarities. In: Extraction and Exploitation of Intensional Knowledge from Heterogeneous Information Sources. Lecture Notes in Computer Science, vol 2282. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-70735-2_3
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DOI: https://doi.org/10.1007/3-540-70735-2_3
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-43347-7
Online ISBN: 978-3-540-70735-6
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