Context Modeling with Situation Rules for Industrial Maintenance

Pekka Aarnio, Valeriy Vyatkin, David Hästbacka

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

8 Citations (Scopus)

Abstract

Industrial maintenance requires not only experienced service personnel to carry out the tasks but also up-to-date information about the target equipment and its environment. Accessing information required to execute the tasks is a common challenge for maintenance personnel. This paper presents a knowledge modeling approach and a technical architecture of a gateway system developed to support maintenance personnel with information combined from legacy data sources as well as from context ontology augmented with situational knowledge. The novelty of the approach is its unified object oriented style of knowledge representation encapsulating predefined queries and rules into ontology classes. The approach utilizes standard Semantic Web technologies, especially SPARQL query language and SPARQL Inferencing Notation SPIN. Feasibility of the approach is demonstrated with a simple maintenance use case example executed in an experimental knowledge gateway system
Original languageEnglish
Title of host publicationProceedings of the 21st IEEE Conference on Emerging Technologies and Factory Automation, ETFA'2016
PublisherIEEE
Number of pages9
ISBN (Electronic)978-1-5090-1314-2
DOIs
Publication statusPublished - 2016
MoE publication typeA4 Article in a conference publication
EventIEEE International Conference on Emerging Technologies and Factory Automation - Berlin, Germany
Duration: 6 Sep 20169 Sep 2016
Conference number: 21
http://www.etfa2016.org/

Publication series

Name Proceedings IEEE International Conference on Emerging Technologies and Factory Automation
PublisherIEEE
ISSN (Print)1946-0740
ISSN (Electronic)2379-9560

Conference

ConferenceIEEE International Conference on Emerging Technologies and Factory Automation
Abbreviated titleEFTA'2016
CountryGermany
CityBerlin
Period06/09/201609/09/2016
Internet address

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  • Cite this

    Aarnio, P., Vyatkin, V., & Hästbacka, D. (2016). Context Modeling with Situation Rules for Industrial Maintenance. In Proceedings of the 21st IEEE Conference on Emerging Technologies and Factory Automation, ETFA'2016 ( Proceedings IEEE International Conference on Emerging Technologies and Factory Automation). IEEE. https://doi.org/10.1109/ETFA.2016.7733539