OWL2 benchmarking for the evaluation of knowledge based systems

S.A. Khan, M.A. Qadir, M.A. Abbas, M.T. Afzal

Research output: Contribution to journalArticlepeer-review


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.
Original languageEnglish
Number of pages13
JournalPLoS ONE
Publication statusPublished - 20 Jun 2017

Bibliographical note

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.


Dive into the research topics of 'OWL2 benchmarking for the evaluation of knowledge based systems'. Together they form a unique fingerprint.

Cite this