Jena with SPARQL to Find Indian Natural Plants Used as Medicine for Diseases

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 216)

Abstract

The voluminous information available on the Web necessitates the integrative approach which retrieves sequence and process the information. The Semantic Web technology promises to store, share, and retrieve information with meaningful relationships. Semantic Web technology also allows to link heterogeneous data model into graphical form without changing the existing data storage. This makes the document-centric idea of current Web to more fine-grained semantic structures. Our paper focuses on Ontology construction of Natural Food Resources related with diseases, with the focus of context-based retrieval. Jena framework is used to build Semantic Web applications with the ontology representation of RDF (Resource Description Framework) and OWL (Web Ontology Language) form. SPARQL (Simple Protocol And RDF Query Language) is used to retrieve various Query Patterns. Thus using SPARQL in Jena it is possible to retrieve more specific and semantically related resources those are useful can identified without affecting the existing data models.

Keywords

Semantic Web RDF (Resource description language) OWL (Web ontology language) DL (Description logic) SWRL (Semantic web rule language) SPARQL (Sparql query language) 

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Copyright information

© Springer India 2014

Authors and Affiliations

  • Vadivu Ganesan
    • 1
  • Hopper S. Waheeta
    • 2
  • H. Srimathi
    • 3
  1. 1.Department of ITSRM UniversityChennaiIndia
  2. 2.Department of BioInfoSRM UniversityChennaiIndia
  3. 3.MCA DepartmentSRM UniversityChennaiIndia

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