- Abstract:
- Data analytics can be problematic in real-world settings, where data sources are often distributed, heterogeneous, and dynamic. Semantic technologies can now offer a practical solution that addresses scalability and usability issues, and has been successfully deployed in industry applications.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
- Publisher copy:
- 10.1109/MIC.2016.121
-
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- Publisher:
- Institute of Electrical and Electronics Engineers Publisher's website
- Journal:
- IEEE Internet Computing Journal website
- Volume:
- 20
- Issue:
- 6
- Pages:
- 62 - 66
- Publication date:
- 2016-12-05
- Acceptance date:
- 2016-11-01
- DOI:
- ISSN:
-
1941-0131
- Pubs id:
-
pubs:668407
- URN:
-
uri:dcfe033d-0559-4c46-a7a2-01237b0dd3ae
- UUID:
-
uuid:dcfe033d-0559-4c46-a7a2-01237b0dd3ae
- Local pid:
- pubs:668407
- Copyright date:
- 2016
Journal article
Using semantic technology to tame the data variety challenge
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