OWL2 benchmarking for the evaluation of knowledge based systems


OWL2 semantics are becoming increasingly popular for the real domain applications like Gene engineering and health MIS. The present work identifies the research gap that negligible attention has been paid to the performance evaluation of Knowledge Base Systems (KBS) using OWL2 semantics. To fulfil this identified research gap, an OWL2 benchmark for the evaluation of KBS is proposed. The proposed benchmark addresses the foundational blocks of an ontology benchmark i.e. data schema, workload and performance metrics. The proposed benchmark is tested on memory based, file based, relational database and graph based KBS for performance and scalability measures. The results show that the proposed benchmark is able to evaluate the behaviour of different state of the art KBS on OWL2 semantics. On the basis of the results, the end users (i.e. domain expert) would be able to select a suitable KBS appropriate for his domain.

Publication DOI: https://doi.org/10.1371/journal.pone.0179578
Divisions: College of Health & Life Sciences > Aston Pharmacy School
College of Business and Social Sciences > Aston Business School > Operations & Information Management
College of Business and Social Sciences
Additional Information: Copyright © 2017 Khan et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Publication ISSN: 1932-6203
Last Modified: 06 Mar 2024 08:26
Date Deposited: 02 Mar 2023 12:08
Full Text Link: http://www.scop ... tnerID=MN8TOARS
Related URLs: https://journal ... al.pone.0179578 (Publisher URL)
PURE Output Type: Article
Published Date: 2017-06-20
Accepted Date: 2017-05-08
Authors: Khan, S.A.
Qadir, M.A.
Abbas, M.A. (ORCID Profile 0000-0001-9536-0065)
Afzal, M.T.



Version: Published Version

License: Creative Commons Attribution

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