One of the current challenges in ontology alignment is scalability and one technique to deal with this issue is to reduce the search space for the generation of mapping suggestions. In this paper we develop a method to prune that search space by using clustering techniques and topic identification. Further, we provide experiments showing that we are able to generate partitions that allow for high quality alignments with a highly reduced effort for computation and validation of mapping suggestions for the parts of the ontologies in the partition. Other techniques will still be needed for finding mappings that are not in the partition.

Reducing the search space in ontology alignment using clustering techniques and topic identification / Chiatti, Agnese; Dragisic, Zlatan; Cerquitelli, Tania; Lambrix, Patrick. - STAMPA. - 21:(2015), pp. 1-4. (Intervento presentato al convegno 8th International Conference on Knowledge Capture, {K-CAP} 2015 tenutosi a Palisades, NY, USA nel October 7-10, 2015) [10.1145/2815833.2816959].

Reducing the search space in ontology alignment using clustering techniques and topic identification

CERQUITELLI, TANIA;
2015

Abstract

One of the current challenges in ontology alignment is scalability and one technique to deal with this issue is to reduce the search space for the generation of mapping suggestions. In this paper we develop a method to prune that search space by using clustering techniques and topic identification. Further, we provide experiments showing that we are able to generate partitions that allow for high quality alignments with a highly reduced effort for computation and validation of mapping suggestions for the parts of the ontologies in the partition. Other techniques will still be needed for finding mappings that are not in the partition.
2015
978-1-4503-3849-3
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2639828
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