I-DLV-sr: A Stream Reasoning System based on I-DLV
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Abstract (arXiv)
We introduce a novel logic-based system for reasoning over data streams, which relies on a framework enabling a tight, fine-tuned interaction between Apache Flink and the I^2-DLV system. The architecture allows to take advantage from both the powerful distributed stream processing capabilities of Flink and the incremental reasoning capabilities of I^2-DLV based on overgrounding techniques. Besides the system architecture, we illustrate the supported input language and its modeling capabilities, and discuss the results of an experimental activity aimed at assessing the viability of the approach. This paper is under consideration in Theory and Practice of Logic Programming (TPLP).
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 9 of its 28 references that are in the map. First posted on arXiv 5 Aug 2021.
Builds on
9 of 28 references.
References · 9
- 2017Multi-shot ASP solving with clingocited by 115
- 2019ASP-Core-2 Input Language Formatcited by 77
- 2017Expressive Stream Reasoning with Lasercited by 7
- 2018Benchmarking Distributed Stream Data Processing Systemscited by 6
- 2019A Distributed Approach to LARS Stream Reasoning (System paper)cited by 4
- 2020Incremental maintenance of overgrounded logic programs with tailored simplificationscited by 3
- 2013Answer Set Programming for Stream Reasoningcited by 2
- 2016Stream Reasoning-Based Control of Caching Strategies in CCN Routerscited by 2
- 2019Incremental Answer Set Programming with Overgroundingcited by 2
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Citing papers per year: 2022: 1; 2023: 0; 2024: 1.
2 papers.