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 real-world scenarios with very positive results.
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Fortuna, B., Grobelnik, M., Mladenic, D. (2007). OntoGen: Semi-automatic Ontology Editor. In: Smith, M.J., Salvendy, G. (eds) Human Interface and the Management of Information. Interacting in Information Environments. Human Interface 2007. Lecture Notes in Computer Science, vol 4558. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73354-6_34
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DOI: https://doi.org/10.1007/978-3-540-73354-6_34
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