In this paper we present a new version of OntoGen system for semi-automatic data-driven ontology construction. The system is based on a novel ontology learning framework which formalizes and extends the role of machine learning and text mining algorithms used in the previous version. List of new features includes extended number of supported ontology formats (RDFS and OWL), supervised methods for concept discovery (based on Active Learning), adding of new instances to ontology and improved user interface (based on comments from the users).

@article{blaz06ontogen, author = {Fortuna, Blaz and Grobelnik, Marko and Mladenić, Dunja}, title = {Semi-automatic data-driven ontology construction system}, year = {2006}, keywords = {text, ol}, abstract = {In this paper we present a new version of OntoGen system for semi-automatic data-driven ontology construction. The system is based on a novel ontology learning framework which formalizes and extends the role of machine learning and text mining algorithms used in the previous version. List of new features includes extended number of supported ontology formats (RDFS and OWL), supervised methods for concept discovery (based on Active Learning), adding of new instances to ontology and improved user interface (based on comments from the users).} }

%0 = article %A = Fortuna, Blaz and Grobelnik, Marko and Mladenić, Dunja %D = 2006 %T = Semi-automatic data-driven ontology construction system

@inproceedings{brank2005, author = {Brank, Janez and Grobelnik, Marko and Mladenić, Dunja}, title = {A Survey of Ontology Evaluation Techniques}, booktitle = {Proc. of 8th Int. multi-conf. Information Society}, year = {2005}, pages = {166--169}, keywords = {ol, survey, evaluation, ontology} }

%0 = inproceedings %A = Brank, Janez and Grobelnik, Marko and Mladenić, Dunja %B = Proc. of 8th Int. multi-conf. Information Society %D = 2005 %T = A Survey of Ontology Evaluation Techniques