Open AccessPerformance Evaluation of the Semantic Web Reasoners
Author(s) -
Deepika Chaudhary,
Jaiteg Singh,
D. P. Kothari
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.d7127.118419
Subject(s) - semantic reasoner , computer science , semantic web , semantic web rule language , web ontology language , semantics (computer science) , description logic , ontology , set (abstract data type) , ontology language , focus (optics) , programming language , information retrieval , artificial intelligence , natural language processing , semantic web stack , semantic analytics , philosophy , physics , epistemology , optics
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.