Provenance use and it’s Application in Education Domain using owl/XML Syntax in Protégé
Mrinal Pandey1, Rajiv Pandey2, Manuj Darbari3

1Mrinal Pandey, Research Scholar, Amity Institute of Information Technology, Amity University Uttar Pradesh, Lucknow, India.
2Rajiv Pandey, Assistant Professor, Amity Institute of Information Technology, Amity University Uttar Pradesh, Lucknow, India.
3Manuj Darbari, Associate Professor, Department of IT, BBDNITM, Lucknow, India

Manuscript received on 30 June 2019 | Revised Manuscript received on 05 July 2019 | Manuscript published on 30 July 2019 | PP: 1037-1045 | Volume-8 Issue-9, July 2019 | Retrieval Number: H7355068819/19©BEIESP | DOI: 10.35940/ijitee.H7355.078919

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (

Abstract: Current web applications are “closed” web applications. Such applications do not support integration and interoperability amongst them. Semantic web stack, however provides for languages and tools that help in achieving interoperability and integration amongst various web applications. Web applications developed nowadays are distributed and interoperable. Semantic web stack enables the designers to embed semantic web descriptions using Ontologies [1]. Ontologies provide a shared understanding of a given realm that can be disseminated amongst people and across application systems [2]. In addition to building semantic web systems that are interoperable and distributed there is also a need to make these semantically enabled systems trustworthy. Various work has been done till date regarding the trust and various mathematical models have been proposed t regarding the same. In this paper we are trying to address the issue of provenance using PROV-DM data model. The Provenance architecture has been proposed by the Provenance working group. We have tried to implement the data model in a university Ontology and have tried to show how provenance can be embedded to Semantically enabled University People Program Ontology.
Index Terms: Provenance, Education, Ontology, Semantic Web, Trust.

Scope of the Article: Software Domain Modelling and Analysis