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Knowledge graph and semantic web model for cross domain

Author(s)
SHITAL KAKAD Sardar Patel Institute of Technology, MMCOE, Pune
SUDHIR DHAGE Sardar Patel Institute of Technology
Abstract
The industry and institutes systems are designed to develop a smart world. The heterogeneous data is available on the web. It is difficult to retrieve precise information from the current web. Semantic web is a solution for semantic interoperability. There are different existing ontology in the education domain. Nowadays, the Industry-Institute gap is increasing due to various reasons. These gaps can be bridged after finding gaps by planning and conducting different activities for students. It will automatically reduce the unemployment rate. Industry and Institute both are equally responsible to develop quality students. In this paper, cross domain (Industry domain and Institute domain) ontology based semantic models are developed to bridge the institute-industry gap using Protégé 5.5.0 editor. The classes and sub classes of IndustryInstitute ontology are designed with the help of domain experts. Then, object property and data property are defined to enhance ontology. Next, the result of ontology is validated using HermiT reasoner, DL query and SPARQL query. The graphical representation of ontology is shown by using OntoGraf, OWLViz and VOWL plugin.
Publication Details
Page(s) 5202-5218
DOI DOI not available
Published Journal: Journal of Theoretical and Applied Information Technology, Volume: 100, Issue: 16, Year: 2022

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Keywords
semantic web, ontology, Data Filtering, protégé 5, Data Annotation, Cross Domain
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