Title :
RDF triple stores as a knowledge management technology for CBM services
Author :
Aarnio, Pekka ; Seilonen, Ilkka
Author_Institution :
Sch. of Electr. Eng., Aalto Univ., Aalto, Finland
Abstract :
An approach to using RDF triple stores as a knowledge management technology for CBM services is presented in this paper. According to the approach, the management of the case knowledge handled in CBM services can be implemented with RDF triple store technology. The case knowledge in CBM services is descriptions of equipment diagnosis situation and their solutions. This paper presents the design of a case knowledge base management system (KBMS) build over the Virtuoso triple store. The approach has been evaluated with real industrial case data related to control valves. Initial results from the evaluation suggest the feasibility of the approach.
Keywords :
deductive databases; knowledge management; CBM services; KBMS; RDF triple store technology; Virtuoso triple store; condition based maintenance; equipment diagnosis; knowledge base management system; knowledge management technology; resource description framework; Cognition; Knowledge based systems; Knowledge management; Loading; Maintenance engineering; Resource description framework;
Conference_Titel :
Emerging Technologies & Factory Automation (ETFA), 2013 IEEE 18th Conference on
Conference_Location :
Cagliari
Print_ISBN :
978-1-4799-0862-2
DOI :
10.1109/ETFA.2013.6648123
