Foundational patterns benchmark

Article type: Research Article

Authors: Ahmad, Jana^{; *} | Křemen, Petr

Affiliations: Department of Computer Science, Faculty of Electrical Engineering, Czech Technical University in Prague, Czech Republic

Correspondence: [*] Corresponding author. E-mail: ahmadjan@fel.cvut.cz.

Note: [] Accepted by: Gilles Kassel

Abstract: Recently, there has been growing interest in the use of ontology as a fundamental tool for representing domain-specific conceptual models to improve the semantics, accuracy, and relevance of domain users’ query results. Although the amount of data has grown steadily over the past decade, much data shares similar characteristics that can be captured by a foundational ontology. In this paper, we show how queries based on a foundational ontology can be evaluated and their performance measured. We also present a Foundational Patterns benchmark to help select the most efficient triple memory and its layout. We evaluate the foundational benchmark with both generated and real datasets for state-of-the-art triple stores.

Keywords: Foundational Pattern, UFO, SPARQL

DOI: 10.3233/AO-220274

Journal: Applied Ontology, vol. 17, no. 4, pp. 465-494, 2022