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Developing a semantic web based search using ontology classification
Published in International Journal of Pharmacy and Technology
2016
Volume: 8
   
Issue: 3
Pages: 18978 - 18988
Abstract

Adding Semantic meaning to our knowledge helps to branch across domain of knowledge. Without the use of semantic,it might be tough to find meaningful connection among them. Our graph based model primarily consist data in the form of RDF. OWL (Web Ontology Language) is language that aims to know the web information into the machine-readable content with semantics. Stanford Medical Informatics has developed Protégé-OWL which is an open-source ontology. W3C has suggested SPARQL to represent the Resource Description Framework graph –which contains subject and predicate. In our case we use RDF data for VIT University website. This has been implemented in a tool referred to as a Protégé that is freely available in the market and an open source tool that give platform to construct totally different models & knowledge-base. Protégé has been used to build ontology for VIT University domain. Ontology is the characterization of ideas within the domain of knowledge base that are represented as classes and subclasses. Further these concepts or the classes can have attributes and restriction outlined on them. In addition to that,if we want to build a very big ontology,we can amalgamate many existing Ontology to depict a bigger domain. We can also reuse general ontology and expand it to describe our domain of interest. In this paper for executing query we have use the SPARQL query language which is in RDF format which is used to retrieve the data which is being stored. © 2016,International Journal of Pharmacy and Technology. All rights reserved.

About the journal
JournalInternational Journal of Pharmacy and Technology
PublisherInternational Journal of Pharmacy and Technology
ISSN0975766X