Using machine learning to support continuous ontology development

Authors:
Maryam Ramezani;Hans Friedrich Witschel;Simone Braun;Valentin Zacharias
Affiliations:
SAP Research, Karlsruhe, Germany;SAP Research, Karlsruhe, Germany;FZI Forschungszentrum Informatik, Karlsruhe, Germany;FZI Forschungszentrum Informatik, Karlsruhe, Germany
Venue:
EKAW'10 Proceedings of the 17th international conference on Knowledge engineering and management by the masses
Year:
2010

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Abstract

This paper presents novel algorithms to support the continuous development of ontologies; i.e. the development of ontologies during their use in social semantic bookmarking, semantic wiki or other social semantic applications. Our goal is to assist users in placing a newly added concept in a concept hierarchy. The proposed algorithm is evaluated using a data set from Wikipedia and provides good quality recommendation. These results point to novel possibilities to apply machine learning technologies to support social semantic applications.