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Context modeling with situation rules for industrial maintenance

Tutkimustuotosvertaisarvioitu

Yksityiskohdat

AlkuperäiskieliEnglanti
Otsikko2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA)
KustantajaIEEE
Sivut1-9
Sivumäärä9
ISBN (elektroninen)978-1-5090-1314-2
DOI - pysyväislinkit
TilaJulkaistu - 7 marraskuuta 2016
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaIEEE International Conference on Emerging Technologies and Factory Automation -
Kesto: 1 tammikuuta 2014 → …

Julkaisusarja

Nimi
ISSN (painettu)1946-0740

Conference

ConferenceIEEE International Conference on Emerging Technologies and Factory Automation
Ajanjakso1/01/14 → …

Tiivistelmä

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.

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