Title: RDF object description generator

Authors: Yanji Chen; Mieczyslaw M. Kokar; Jakub J. Moskal

Addresses: Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA ' Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA ' VIStology Inc., Framingham, MA 01701, USA

Abstract: This paper describes a program for generating RDF descriptions of objects of a specific type based on a given OWL ontology. We needed this kind of capability to compare the use of OWL vs. XML-based descriptions within scenarios in which capabilities of radios are matched against application needs. Most of the existing solutions for RDF dataset generation are not generic, i.e., they are locked-in to specific class models or ontologies. Existing generic solutions do not support sufficiently (or totally ignore) the OWL semantics, or rely on large numbers of real-world data. Our experimental results show that RODG performs reasonably well with generating large numbers of object descriptions, which are consistent with and have a good space coverage (variety) over the input ontology.

Keywords: synthetic RDF triples generation; ontology-based descriptions; cognitive radios; OWL axioms; OWL API; RDF dataset evaluation.

DOI: 10.1504/IJWET.2020.109729

International Journal of Web Engineering and Technology, 2020 Vol.15 No.2, pp.140 - 169

Published online: 16 Sep 2020 *

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