RDFViewS: A Storage Tuning Wizard for RDF Applications

TL;DR

RDFViewS is a system that optimizes RDF data storage by selecting appropriate views to reduce query response times, considering maintenance costs and storage limits, using algorithms and semantic information.

Contribution

It introduces RDFViewS, a novel system that intelligently chooses views for RDF data to improve query efficiency while managing costs and storage constraints.

Findings

Reduces query response time significantly.

Balances view maintenance costs with storage limitations.

Utilizes semantic information for complete query evaluation.

Abstract

In recent years, the significant growth of RDF data used in numerous applications has made its efficient and scalable manipulation an important issue. In this paper, we present RDFViewS, a system capable of choosing the most suitable views to materialize, in order to minimize the query response time for a specific SPARQL query workload, while taking into account the view maintenance cost and storage space constraints. Our system employs practical algorithms and heuristics to navigate through the search space of potential view configurations, and exploits the possibly available semantic information - expressed via an RDF Schema - to ensure the completeness of the query evaluation.