"Semantically-enhanced rule-based diagnostics for industrial Internet of ..."

Evgeny Kharlamov et al. (2019)

> Home

Details and statistics

DOI: 10.1016/J.WEBSEM.2018.10.004

access: closed

type: Journal Article

metadata version: 2020-12-29

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/ws/KharlamovMSXKR19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/ws/KharlamovMSXKR19
Evgeny Kharlamov, Gulnar Mehdi, Ognjen Savkovic, Guohui Xiao, Elem Güzel Kalayci, Mikhail Roshchin:
Semantically-enhanced rule-based diagnostics for industrial Internet of Things: The SDRL language and case study for Siemens trains and turbines. J. Web Semant. 56: 11-29 (2019)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.