Semantic - Based Querying Using Ontology in Relational Database of Library Management System

Abstract

The traditional Web stores huge amount of data in the form of Relational Databases (RDB) as it is good at storing objects and relationships between them. Relational Databases are dynamic in nature which allows bringing tables together helping user to search for related material across multiple tables. RDB are scalable to expand as the data grows. The RDB uses a Structured Query Language called SQL to access the databases for several data retrieval purposes. As the world is moving today from the Syntactic form to Semantic form and the Web is also taking its new form of Semantic Web. The Structured Query of the RDB on web can be a Semantic Query on Semantic Web. The SPARQL is the Query Language recommended by W3C for the RDF(Resource Description Framework). RDF is a directed, labeled graph data format for representing information in the Web and is a very important layer of the Semantic Web Architecture. In this paper we consider the Library Management System (LMS) database, taking some tuples of the LMS Relational Schema. We discuss how the RDF code is scripted and validated using RDF Validator and how RDF Triples are generated. Later we give the graphical representation of the RDF triples and see the process of extracting ontology from the RDF Schema and application of the Semantic Query.