Using Data Mining Techniques to Support the Creation of Competence Ontologies

Authors:
Sabrina Ziebarth;Nils Malzahn;H. Ulrich Hoppe
Affiliations:
University of Duisburg-Essen, Department of Computational and Cognitive Science, {ziebarth, malzahn, hoppe}@collide.info;University of Duisburg-Essen, Department of Computational and Cognitive Science, {ziebarth, malzahn, hoppe}@collide.info;University of Duisburg-Essen, Department of Computational and Cognitive Science, {ziebarth, malzahn, hoppe}@collide.info
Venue:
Proceedings of the 2009 conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling
Year:
2009

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Abstract

Skills and competence requirements in the IT and media sector are changing dynamically at a high rate. This makes the “manual” adjustment of domain ontologies for this area hardly feasible, so that there is a need for automatic or semi-automatic techniques to update such knowledge bases. Several data mining techniques have been applied to different collections of job offers from this field to test and exemplify the feasibility of this approach. The results are encouraging and will be used to support decisions in professional development.