DocumentCode
1792518
Title
Semantic repository for case-based reasoning in CBM services
Author
Aarnio, Pekka ; Seilonen, Ilkka ; Friman, Mats
Author_Institution
ELEC, Aalto Univ., Espoo, Finland
fYear
2014
fDate
16-19 Sept. 2014
Firstpage
1
Lastpage
8
Abstract
Condition-based maintenance (CBM) has been implemented in industry to arrange the maintenance work as efficiently as possible. Case-based reasoning (CBR) can be used to automate part of the CBM decision process. However, in complex situations the final decisions have to be made by domain maintenance experts based on information gathered from several sources. This paper presents an approach for utilizing Semantic Web technologies and CBR in a knowledge base system supporting CBM services. The case knowledge base (CKB) is built over a semantic repository with an inference engine supporting ontology based information integration and data access using SPARQL queries. The knowledge base model developed for the system contains CBR task ontology and domain ontology for industrial control valves. Feasibility of the prototype CKB system was evaluated in experiments with real industrial case data.
Keywords
case-based reasoning; inference mechanisms; information retrieval; ontologies (artificial intelligence); semantic Web; CBM Services; CBM decision process; CBR; SPARQL queries; case-based reasoning; condition-based maintenance; data access; industrial control valves; inference engine supporting ontology; semantic Web technologies; semantic repository; Cognition; Knowledge based systems; Maintenance engineering; Ontologies; Resource description framework; Semantics; Valves; case-based reasoning; condition-based maintenance; information integration; ontology; semantic repository; sparql;
fLanguage
English
Publisher
ieee
Conference_Titel
Emerging Technology and Factory Automation (ETFA), 2014 IEEE
Conference_Location
Barcelona
Type
conf
DOI
10.1109/ETFA.2014.7005195
Filename
7005195
Link To Document