Ontology Learning and Its Application to Automated Terminology Translation
IEEE Intelligent Systems
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EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
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Computational Linguistics
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Data & Knowledge Engineering
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Data & Knowledge Engineering
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Text analysis for ontology and terminology engineering
Applied Ontology
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Ontology evaluation is a critical task, even more so when the ontology is the output of an automatic system, rather than the result of a conceptualisation effort produced by a team of domain specialists and knowledge engineers. This paper provides an evaluation of the OntoLearn ontology learning system. The proposed evaluation strategy is twofold: first, we provide a detailed quantitative analysis of the ontology learning algorithms, in order to compute the accuracy of OntoLearn under different learning circumstances. Second, we automatically generate natural language descriptions of formal concept specifications, in order to facilitate per-concept qualitative analysis by domain specialists.