Detecting is-a and part-of relations in heterogeneous data flow

Authors:
Paolo Ceravolo;Daniel Rocacher
Affiliations:
Dipartimento di Tecnologie dell'Informazione, Università di Milano, Crema, Italy;IRISA/ENSAT, Lannion cedex, France
Venue:
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
Year:
2005

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Abstract

The KIWI project developed a platform called OntoExtractor enabling semi-automatic extraction of ontologies. This platform is composed of different modules. A first module extract typical instances from a data flow. A second module propose some topological relations among the detected classes. A third module assist the knowledge engineer in transforming classes and relations tentatively proposed by the system in a standard knowledge representation format. This paper address the specific problem of detecting is-a and part-of relations among typical instances of a document base.