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SemDia: Semantic rule-based equipment diagnostics tool

Abstract:

Rule-based diagnostics of power generating equipment is an important task in industry. In this demo we present how semantictechnologies can enhance diagnostics. In particular, we present our semantic rule language sigRL that is inspired by the real diagnostic languages in Siemens. SigRL allows to write compact yet powerful diagnostic programs by relying on a high level data independent vocabulary, diagnostic ontologies, and queries over these ontologies. We present our diagnostic system SemDi...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1145/3132847.3133191

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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
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Name:
Engineering and Physical Sciences Research Council
Publisher:
Association for Computing Machinery
Host title:
26th ACM International Conference on Information and Knowledge Management (CIKM 2017)
Journal:
26th ACM International Conference on Information and Knowledge Management (CIKM 2017) More from this journal
Publication date:
2017-11-01
Acceptance date:
2017-08-05
DOI:
Keywords:
Pubs id:
pubs:730816
UUID:
uuid:fc4f01b9-d57e-483d-874b-45c3ba4fdf15
Local pid:
pubs:730816
Source identifiers:
730816
Deposit date:
2017-09-27

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