Abstract
In this paper we present a semi-automatic ontology editor as implemented in a new version of OntoGen system. The system integrates machine learning and text mining algorithms into an efficient user interface lowering the entry barrier for users who are not professional ontology engineers. The main features of the systems include unsupervised and supervised methods for concept suggestion and concept naming, as well as ontology and concept visualization. The system was tested in extensive user trails and in several realworld scenarios with very positive results. © Springer-Verlag Berlin Heidelberg 2007.
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CITATION STYLE
Fortuna, B., Grobelnik, M., & Mladenic, D. (2007). OntoGen: Semi-automatic ontology editor. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4558 LNCS, pp. 309–318). Springer Verlag. https://doi.org/10.1007/978-3-540-73354-6_34
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