I-DLV-sr: A Stream Reasoning System based on I-DLV
This work addresses stream reasoning for applications requiring real-time data processing, but it appears incremental as it combines existing technologies without a major breakthrough.
The authors tackled the problem of reasoning over data streams by introducing a logic-based system that integrates Apache Flink for distributed stream processing with I^2-DLV for incremental reasoning, achieving viability as demonstrated in experimental results.
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).