Research Article | OPEN ACCESS
RDF and OWL Ontology Building of Web Applications
Shabana Samreen, J.S. Mirza and Anila Rasheed
Department of Computer Science, COMSATS Institute of Information Technology Lahore, Pakistan
Research Journal of Information Technology 2013 4:109-117
Received: June 21, 2013 | Accepted: August 30, 2013 | Published: December 01, 2013
Abstract
The goal of semantic web is to understand human language with meaning. Semantic web include metadata that is called annotation. RDF and OWL both languages have standard formats for the sharing and understanding of knowledge on the web. Ontologies also originate from Semantic Web. These RDF and OWL Ontology for web application like Library System of CIIT (Comsats Institute of Information Technology) of Lahore campus can be built. With the help of this ontology we can search the data, understand and customize the data, efficient reasoning support. These OWL ontologies include classes, properties, individuals and their instances. How these classes relate with each other. All the properties related to the Book Information System have set into the data type properties, object properties and annotations. In this research study we proposed the work related to RDF and OWL Ontologies comparison between RDF and OWL ontology and XML schema relationship between the cases of this ontologies, how this ontology was helpful in our web applications. We provide the best way of building of ontology for any web application and any other organization. When the ontology is build, result is obtained by the SPARQL queries with efficient reasoning support. This ontology is developed for CLS (Comsats Library System) in Lahore campus. Manipulation of different properties and then binding of protégé with eclipse to give support for user interface is important task. The results are best correctly gained through SPARQL query.
Keywords:
Jena API , ontology building, OWL, prot, RDF, semantic modelling, SPARQL query, web application, XML,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2041-3114
ISSN (Print): 2041-3106 |
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