# PRSP: A Plugin-based Framework for RDF Stream Processing

## TL;DR

PRSP is a plugin-based framework that enables efficient distributed RDF stream processing and evaluation of SPARQL engines' performance and correctness in handling dynamic RDF data.

## Contribution

It introduces PRSP, a novel plugin-based framework that simplifies integration and evaluation of SPARQL engines for RDF stream processing in distributed environments.

## Key findings

- PRSP maintains high performance of SPARQL engines in RDF stream processing.
- PRSP enables unified evaluation of engine correctness and performance.
- Experimental results on YABench validate PRSP's effectiveness.

## Abstract

In this paper, we propose a plugin-based framework for RDF stream processing named PRSP. Within this framework, we can employ SPARQL query engines to process C-SPARQL queries with maintaining the high performance of those engines in a simple way. Taking advantage of PRSP, we can process large-scale RDF streams in a distributed context via distributed SPARQL engines. Besides, we can evaluate the performance and correctness of existing SPARQL query engines in handling RDF streams in a united way, which amends the evaluation of them ranging from static RDF (i.e., RDF graph) to dynamic RDF (i.e., RDF stream). Finally, within PRSP, we experimently evaluate the correctness and the performance on YABench. The experiments show that PRSP can still maintain the high performance of those engines in RDF stream processing although there are some slight differences among them.