An Ontology Learning and Reasoning Framework
Hele-Mai Haav · European Journal of Combinatorics · 2005
Most of current ontology languages and methodologies lack of learning support combined with reasoning mechanisms. This motivates us creating an ontology learning and reasoning framework in order to guarantee accuracy, transparency and consistency of ontology representation by automatic or semiautomatic methods of ontology learning and reasoning. Novelty of our approach is in combining ontology learning and reasoning into one framework. For ontology extraction and learning, we use Formal Concept Analysis. For ontology reasoning purposes, we require that learned ontology should be automatically mapped to some logic language. We use predicate logic as a target ontology language in this paper.