Inductive concept retrieval and query answering with semantic knowledge bases through kernel methods

Authors:
Nicola Fanizzi;Claudia D'Amato
Affiliations:
Dipartimento di Informatica, Università degli Studi di Bari, Bari, Italy;Dipartimento di Informatica, Università degli Studi di Bari, Bari, Italy
Venue:
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part I
Year:
2007

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Abstract

This work deals with the application of kernel methods to structured relational settings such as semantic knowledge bases expressed in Description Logics. Our method integrates a novel kernel function for the ALC logic in a support vector machine that could be set up to work with these representations. In particular, we present experiments where our method is applied to the tasks of concept retrieval and query answering on existing ontologies.