Keet, C. Maria and d'Amato, Claudia and Khan, Zubeida Casmod and Lawrynowicz, Agnieszka (2014) Exploring Reasoning with the DMOP Ontology, Proceedings of 3rd Workshop on Ontology Reasoner Evaluation (ORE'14), 13 July 2014, Vienna, Austria, 1207, 64-70, CEUR-WS.
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Abstract
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.
Item Type: | Conference paper |
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Uncontrolled Keywords: | OWL, Automated reasoners, Data mining optimization ontology |
Subjects: | Computing methodologies > Artificial intelligence Computer systems organization > Dependable and fault-tolerant systems and networks |
Alternate Locations: | http://www.meteck.org/files/dmopORE14.pdf, http://ceur-ws.org/Vol-1207/ |
Date Deposited: | 30 Sep 2014 |
Last Modified: | 10 Oct 2019 15:32 |
URI: | http://pubs.cs.uct.ac.za/id/eprint/979 |
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