IJIRST (International Journal for Innovative Research in Science & Technology)ISSN (online) : 2349-6010

 International Journal for Innovative Research in Science & Technology

Prototype For Automated Ontology Construction for Semantic Search In Health Care Management Using Herbal Plants


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International Journal for Innovative Research in Science & Technology
Volume 2 Issue - 6
Year of Publication : 2015
Authors : Kripanshu Bhargava ; Debashri Mukherjee; Vadivu.G

BibTeX:

@article{IJIRSTV2I6008,
     title={Prototype For Automated Ontology Construction for Semantic Search In Health Care Management Using Herbal Plants},
     author={Kripanshu Bhargava, Debashri Mukherjee and Vadivu.G},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={2},
     number={6},
     pages={7--12},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV2I6008.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}



Abstract:

The Semantic Web is deemed to be the next major step in associating information in the web. It facilitates the linkage of data between two related sources and to be understood by the machine. Ontology is the essential building block of the semantic web for making the machine to communicate with other machines. Constructing the ontology for the general domain is very tedious and the construction of Medicinal plant ontology to be one of the most useful ontology for the average person to understand the usage of medicinal plants. Earlier research on ontology design methodologies shows that constructing ontology using manual process is tedious, but it is difficult to create the ontology automatically, since the sources of the input are in different forms, like, structured, semi structured, or unstructured data. In this paper, we present an automated ontology construction methodology for the medicinal plants. Java is used to extract the Wikipedia web pages related to medicinal plants, Java enabled application (Jena) is used for the automated construction of ontology, and Protégé is used for verifying the consistency of the ontology. Jena with SPARQL is used for inferring the usage of Indian medicinal plants. An Automated Knowledge framework for the Indian Medicinal Plants (AKIMP) is developed based on this proposed concept. The system is exhibited for fifty thousand concepts and gives the related information from Traditional Knowledge Digital Library (TKDL)[12] and Wikipedia web pages. Thus, it is possible to construct the automated knowledge base to retrieve the required resultant webpage based on the users’ need. This automated ontology construction methodology is an improvised method in analyzing the use of medicinal plants.


Keywords:

Semantic Web, Resource Description Framework (RDF), Web Ontology Language (OWL), Jena, SPARQL Protocol and RDF Query Language (SPARQL)


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