Using Grammar-Based Genetic Programming for Mining Subsumption Axioms Involving Complex Class Expressions

Abstract

Ontology enrichment is a key task in the area of the Semantic Web. It allows directly to enrich the links between entities of the semantic Web and thus adding information. Our research area is part of this objective with the search for axioms using an evolutionary process. We propose an adaptation resulting from the coupling between evolutionary algorithms and the theory of possibilities in order to allow the research of axioms of subsumption composed of complex classes.