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Erschienen in:
2010 | OriginalPaper | Buchkapitel
Alignment-Based Partitioning of Large-Scale Ontologies
verfasst von : Fayçal Hamdi, Brigitte Safar, Chantal Reynaud, Haïfa Zargayouna
Erschienen in: Advances in Knowledge Discovery and Management
Verlag: Springer Berlin Heidelberg
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Ontology alignment is an important task for information integration systems that can make different resources, described by various and heterogeneous ontologies, interoperate. However very large ontologies have been built in some domains such as medicine or agronomy and the challenge now lays in scaling up alignment techniques that often perform complex tasks. In this paper, we propose two partitioning methods which have been designed to take the alignment objective into account in the partitioning process as soon as possible. These methods transform the two ontologies to be aligned into two sets of blocks of a limited size. Furthermore, the elements of the two ontologies that might be aligned are grouped in a minimal set of blocks and the comparison is then enacted upon these blocks. Results of experiments performed by the two methods on various pairs of ontologies are promising.