Conceptual Clustering and its Application to Concept Drift and Novelty Detection. In Manfred Hauswirth, Manolis Koubarakis, and Sean Bechhofer (Eds.), Proceedings of the 5th European Semantic Web Conference, Springer Verlag, Berlin, Heidelberg, June 2008. [BibSonomy: clustering drift conceptual similarity semantic concept setection novelty learning] URL
Query Answering and Ontology Population: an Inductive Approach. In Manfred Hauswirth, Manolis Koubarakis, and Sean Bechhofer (Eds.), Proceedings of the 5th European Semantic Web Conference, Springer Verlag, Berlin, Heidelberg, June 2008. [BibSonomy: similalrity inductive learning unswering uncertainty ontology logic description population measure query] URL
Distance Based clustering of Semantic Web Resources. In Manfred Hauswirth, Manolis Koubarakis, and Sean Bechhofer (Eds.), Proceedings of the 5th European Semantic Web Conference, Springer Verlag, Berlin, Heidelberg, June 2008. [BibSonomy: rdf measure clustering distance learning] URL
The Creation and Evaluation of iSPARQL Strategies for Matchmaking. In Manfred Hauswirth, Manolis Koubarakis, and Sean Bechhofer (Eds.), Proceedings of the 5th European Semantic Web Conference, Springer Verlag, Berlin, Heidelberg, June 2008. [BibSonomy: retrieval information matchmaking machine learning sparql evaluation query-processing-1] URL
CSR: Discovering Subsumption Relations for the Alignment of Ontologies. In Manfred Hauswirth, Manolis Koubarakis, and Sean Bechhofer (Eds.), Proceedings of the 5th European Semantic Web Conference, Springer Verlag, Berlin, Heidelberg, June 2008. [BibSonomy: classification supervised machine learning subsumption alignment ontology binary ontology-alignment] URL
Adding Data Mining Support to SPARQL via Statistical Relational Learning Methods. In Manfred Hauswirth, Manolis Koubarakis, and Sean Bechhofer (Eds.), Proceedings of the 5th European Semantic Web Conference, Springer Verlag, Berlin, Heidelberg, June 2008. [BibSonomy: sparql data statistical evaluation mining relational learning query-processing-1] URL