Performance Evaluation of the Semantic Web Reasoners
Deepika Chaudhary1, Jaiteg Singh2, D. P. Kothari3
1Deepika Chaudhary, Chitkara University Institute of Engineering & Technology, Chitkara University, Punjab, India.
2Jaiteg.Singh, Chitkara University Institute of Engineering & Technology, Chitkara University, Punjab, India.
3D.P.Kothari, Director Research Wainganga College of Engineering & Management, Nagpur, India.
Manuscript received on November 22, 2019. | Revised Manuscript received on November 28, 2019. | Manuscript published on November 30, 2019. | PP: 2531-2539 | Volume-8 Issue-4, November 2019. | Retrieval Number: D7127118419/2019©BEIESP | DOI: 10.35940/ijrte.D7127.118419
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The major benefit of working on Ontology Web Language (OWL) is its ability to define semantics such that the information becomes more valuable. To realize the full power of semantics, it is essential to integrate a reasoning engine to it. The software codes that perform inferences are often referred to as reasoning engines or reasoners. The reasoners can be classified into categories: tableau based and rule based reasoners. The rule based reasoners combines the assertions with a set of logical rules to infer new knowledge chunks. The Jena framework offers several ways to integrate rule based reasoners programmatically. The operation is similar to creating a more advanced model from a simpler one. The objective of this paper is to list and classify the reasoners according to OWL 2 profiles thereafter the focus of this study is to develop a model which evaluate the performance of Semantic Web Reasoner based on few parameters.
Keywords: Semantic Web Reasoners, Jena Framework, OWL, Inference.
Scope of the Article: Semantic Web.