Logical foundations of object-oriented and frame-based languages
Journal of the ACM (JACM)
An overview of the ONIONS project: applying ontologies to the integration of medical terminologies
Data & Knowledge Engineering - Special issue on formal ontology and conceptual modeling
Ontology Learning for the Semantic Web
Ontology Learning for the Semantic Web
Formal Concept Analysis: Mathematical Foundations
Formal Concept Analysis: Mathematical Foundations
Ontobroker: Ontology Based Access to Distributed and Semi-Structured Information
DS-8 Proceedings of the IFIP TC2/WG2.6 Eighth Working Conference on Database Semantics- Semantic Issues in Multimedia Systems
Overview and analysis of methodologies for building ontologies
The Knowledge Engineering Review
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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.