TL;DR
The paper presents I-DLV-sr, a logic-based stream reasoning system integrating Apache Flink and I^2-DLV, enabling efficient reasoning over data streams with experimental validation of its effectiveness.
Contribution
It introduces a novel architecture combining Flink and I^2-DLV for stream reasoning, including language support and experimental evaluation.
Findings
System effectively integrates Flink and I^2-DLV for stream reasoning
Experimental results demonstrate viability and performance
Supports expressive modeling of data streams
Abstract
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).
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