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A Method for Pruning Ontologies in the Development of Conceptual Schemas of Information Systems.

Authors :
Spaccapietra, Stefano
Atzeni, Paolo
Chu, Wesley W.
Catarci, Tiziana
Sycara, Katia P.
Conesa, Jordi
Olivé, Antoni
Source :
Journal on Data Semantics V; 2006, p64-90, 27p
Publication Year :
2006

Abstract

In the past, most conceptual schemas of information systems have been developed essentially from scratch. Currently, however, several research projects are considering an emerging approach that tries to reuse as much as possible the knowledge included in existing ontologies. Using this approach, conceptual schemas would be developed as refinements of (more general) ontologies. However, when the refined ontology is large, a new problem that arises using this approach is the need of pruning the concepts in that ontology that are superfluous in the final conceptual schema. This paper proposes a new method for pruning ontologies in this approach. We also show how to adapt the method to prune ontologies in other contexts. Our method is general and it can be adapted to most conceptual modeling languages. We give the complete details of its adaptation to the UML. On the other hand, the method is fully automatic. The method has been implemented. We illustrate the method by means of its application to a case study that refines the Cyc ontology. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540314264
Database :
Supplemental Index
Journal :
Journal on Data Semantics V
Publication Type :
Book
Accession number :
32889123
Full Text :
https://doi.org/10.1007/11617808_3