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OntoGen: Semi-automatic Ontology Editor (2008)

Abstract
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.

Publication details
Download http://citeseerx.ist.psu.edu/viewdoc/summary?doi=?doi=10.1.1.101.6909
Source http://analytics.ijs.si/~blazf/papers/OntoGen2_HCII2007.pdf
Contributors CiteSeerX
Repository CiteSeerX - Scientific Literature Digital Library and Search Engine (United States)
Keywords Ontology Editor, Ontology Learning, Text Mining, Machine Learning
Type text
Language English
Relation 10.1.1.16.4036