Design and Development of Semantic Web Based System for Computer Science Domain Specific Information Retrieval

Publication date: Available online 27 April 2016 Source:Perspectives in Science Author(s): Ritika Bansal, Sonal Chawla In semantic web based system, the concept of ontology is used to search results by contextual meaning of input query instead of keyword matching. From the research literature, there seems to be a need for a tool which can provide an easy interface for complex queries in natural language that can retrieve the domain specific information from the ontology. This research paper proposes an IRSCSD system (Information retrieval system for computer science domain) as a solution. This system offers advanced querying and browsing of structured data with search results automatically aggregated and rendered directly in a consistent user-interface, thus reducing the manual effort of users. So, the main objective of this research is design and development of semantic web based system for integrating ontology towards domain specific retrieval support. Methodology followed is a piecemeal research which involves the following stages. First Stage involves the designing of framework for semantic web based system. Second stage builds the prototype for the framework using Protégé tool. Third Stage deals with the natural language query conversion into SPARQL query language using Python based QUEPY framework. Fourth Stage involves firing of converted SPARQL queries to the ontology through Apache's Jena API to fetch the results. Lastly, evaluation of the prototype has bee...

Source: Perspectives in Science - April 26, 2016 Category: Science Source Type: research