Exploring Reasoning with the DMOP Ontology
Keet, C. Maria, Claudia d'Amato, Zubeida Casmod Khan and Agnieszka Lawrynowicz (2014) Exploring Reasoning with the DMOP Ontology. In Bail, Samantha, Birte Glimm, Ernesto Jimenez-Ruiz, N. Matentzoglu, Bijan Parsia and A. Steigmiller, Eds. Proceedings 3rd Workshop on Ontology Reasoner Evaluation (ORE'14) 1207, pages 64-70, Vienna, Austria.
We describe the Data Mining OPtimization Ontology (DMOP), which was developed to support informed decision-making at various choice points of the knowledge discovery (KD) process. DMOP contains in-depth descriptions of DM tasks, data, algorithms, hypotheses, and workflows. Its development raised a number of non-trivial modeling problems, the solution to which demanded maximal exploitation of OWL 2 representational potential. The choices made led to v5.4 of the DMOP ontology. We report some evaluations on processing DMOP with a standard reasoner by considering different DMOP features.
|EPrint Type:||Conference Paper|
|Keywords:||OWL, Automated reasoners, Data mining optimization ontology|
|Subjects:||I Computing Methodologies: I.2 ARTIFICIAL INTELLIGENCE|
C Computer Systems Organization: C.4 PERFORMANCE OF SYSTEMS
|Deposited By:||Keet, C. Maria|
|Deposited On:||30 September 2014|
|Alternative Locations:||http://www.meteck.org/files/dmopORE14.pdf, http://ceur-ws.org/Vol-1207/|