- Abstract:
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Rule-based temporal query languages provide the expressive power and flexibility required to capture in a natural way complex analysis tasks over streaming data. Stream processing applications, however, typically require near real-time response using limited resources. In particular, it becomes essential that the underpinning query language has favourable computational properties and that stream processing algorithms are able to keep only a small number of previously received facts in memory ...
Expand abstract - Publication status:
- Published
- Peer review status:
- Peer reviewed
- Version:
- Accepted Manuscript
- Files:
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(pdf, 304.0kb)
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- Publisher:
- AAAI Press Publisher's website
- Pages:
- 571-580
- Publication date:
- 2018-09-24
- Acceptance date:
- 2018-08-10
- Pubs id:
-
pubs:935418
- URN:
-
uri:3dfc0846-25d9-4a49-b50e-56ff4ffc4f92
- UUID:
-
uuid:3dfc0846-25d9-4a49-b50e-56ff4ffc4f92
- Local pid:
- pubs:935418
- ISBN:
- 978-1-57735-803-9
- Copyright holder:
- Association for the Advancement of Artificial Intelligence
- Copyright date:
- 2018
- Notes:
-
Copyright © 2018, Association for the Advancement of Artificial
Intelligence (www.aaai.org). This is the accepted manuscript version of the paper. The final version is available online from AAAI Press at: https://www.aaai.org/ocs/index.php/KR/KR18/paper/view/18030
Conference item
The window validity problem in rule-based stream reasoning
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SIRIUS Centre for Scalable
Data Access in the Oil and Gas Domain
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