2005 | OriginalPaper | Chapter
An Approach for Clustering Semantically Heterogeneous XML Schemas
Authors : Pasquale De Meo, Giovanni Quattrone, Giorgio Terracina, Domenico Ursino
Published in: On the Move to Meaningful Internet Systems 2005: CoopIS, DOA, and ODBASE
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
In this paper we illustrate an approach for clustering semantically heterogeneous XML Schemas. The proposed approach is driven mainly by the semantics of the involved Schemas that is defined by means of the interschema properties existing among concepts represented therein. An important feature of our approach consists of its capability to be integrated with almost all the clustering algorithms already proposed in the literature.