An Approach for Semantic Information Retrieval from Ontology in Computer Science Domain

Ontology plays a pivotal role in exchange of information, use of knowledge and its re-use, shared and common understanding of a domain specific knowledge that can be communicated between people and across applicatio n systems which is the goal of semantic web. Ontology is used t o capture knowledge about any domain of interest with the objec tive of incorporating the machine understandable data on th e current human-readable web. Ontology is a broad term includi ng a wide range of activities, complexities and issues in whic h Ontology Development is one of the most fundamental and sign ificant concern[1]. There may be various methodologies or t ols for ontology development. This paper has three main obj ectives. Firstly, it considers the computer science domain an d demonstrates the development of Ontology in this do main using Protégé 3.4 Editor. Secondly, this paper focuses on the techniques and query language SPARQL for data retriev al from Ontology. Thirdly, this paper will discuss an approa ch for retrieving information from Ontology through natura l language queries by demonstrating the layout of IRSCSD (Infor mation retrieval system for computer science domain).