Conference item
Semantic rules for machine diagnostics: Execution and management
- Abstract:
- Rule-based diagnostics of equipment is an important task in industry. In this paper we present how semantic technologies can enhance diagnostics. In particular, we present our semantic rule language sigRL that is inspired by the real diagnostic languages used 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 study computational complexity of SigRL: execution of diagnostic pro- grams, provenance computation, as well as automatic verification of redundancy and inconsistency in diagnostic programs.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Access Document
- Files:
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(Preview, Accepted manuscript, pdf, 1012.4KB, Terms of use)
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- Publisher copy:
- 10.1145/3132847.3133159
Authors
- 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:
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pubs:730817
- UUID:
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uuid:2ea6f9d0-75ef-4f0b-af4b-8bdcaf44fd8d
- Local pid:
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pubs:730817
- Source identifiers:
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730817
- Deposit date:
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2017-09-27
- ARK identifier:
Terms of use
- Copyright holder:
- Association for Computing Machinery
- Copyright date:
- 2017
- Notes:
- © 2017 ACM. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]. CIKM’17, November 6–10, 2017, Singapore.
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