Supporting the Evolution of SHIQ Ontologies with Inductive Logic Programming -- A Preliminary Study
Presented at: International Workshop on Ontology Dynamics (IWOD2008)
by Francesca Lisi, Floriana Esposito
The definition of new concepts or roles for which extensional knowledge become available can turn out to be necessary to make a DL ontology evolve. In this paper we reformulate this task as a machine learning problem and study a solution based on techniques borrowed from that form of logic-based machine learning known under the name of Inductive Logic Programming (ILP). More precisely, we propose to adapt previous ILP results to the knowledge representation framework of DL+log in order to learn rules to be used for changing SHIQ ontologies.
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