38. H-M. Haav, An Application of Inductive Concept Analysis to Construction of Domain-specific Ontologies, In: B. Thalheim, Gunar Fiedler (Eds), Emerging Database Research in East Europe, Proceedings of the Pre-conference Workshop of VLDB 2003, Computer Science Reports, Brandenburg University of Technology at Cottbus, 2003, 14/3, pp 63-67
Designing and refining ontologies becomes a tedious task, once the boundary to real-world-size knowledge bases has been crossed. Hence semi-automatic methods supporting those tasks will determine the future success of ontologies in practice. Our research therefore aims at the conceptual development and implementation of tools for semi-automatic ontology engineering. By combining Ontology Learning and Relational Exploration we hope to overcome the knowledge acquisition bottleneck, especially with respect to expressive axiomatizations (see our seminal paper at ICCS'2007). The RELExO framework supporting the refinement and evaluation of OWL DL ontologies is open source and publicly available under the LGPL license.
L. Silva, and L. Jayaratne. Applications of Digital Information and Web Technologies, 2009. ICADIWT '09. Second International Conference on the, page 446-451. (August 2009)
M. Lux, and G. Dösinger. International Journal of Knowledge and Learning (IJKL), 3 (4/5):
515-528(2007)ISSN (Online): 1741-1017
ISSN (Print): 1741-1009.
J. Völker, D. Vrandecic, Y. Sure, and A. Hotho. Proceedings of the 4th European Semantic Web Conference (ESWC 2007), volume volume 4519 of Lecture Notes in Computer Science, page 175-189. Innsbruck, Austria, Springer, (June 2007)
P. Cimiano, J. Völker, and R. Studer. Information, Wissenschaft und Praxis, 57 (6-7):
315-320(October 2006)see the special issue for more contributions related to the Semantic Web.