Mapping Provenance Model to e-learning Ontology
Amit Kumar Bajpai1, Rajiv Pandey2, S P Tripathi3
1Amit Kumar Bajpai, Research Scholar, AIIT, Amity University, UP, India.
2Dr. Rajiv Pandey, AIIT, Amity University, UP, India.
3Dr. S P Tripathi, Professor, IET, AKTU, UP, India.
Manuscript received on 04 July 2019 | Revised Manuscript received on 08 July 2019 | Manuscript published on 30 August 2019 | PP: 857-863 | Volume-8 Issue-10, August 2019 | Retrieval Number: J90410881019/2019©BEIESP | DOI: 10.35940/ijitee.J9041.0881019
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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 (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The Semantic Web (SW) may be represented as it is advancement of the web; it is specifically conspired to describe information in a specific manner, which machine can understand easily. In this context the ‘object’ or “resource” derived from web must be a unique as Uniform Resource Identifier (URI). Ontologies are used to establish the relationships between objects. Trust or provenance plays important role in the semantic web. Trust defines the merit by which a user considers authenticity of the documents. Semantic web refers the credibility, reliability and tustability of the data in the given context. It is necessary to observe and differentiate trusted data points from entrusted ones. [8]. User has to take decision regarding selection of the documents based on considering all the parameters of trust, whether given information is reliable or not. The documents available in the web in which users put a new set of problems every time and need to obtain the solution exactly trustworthy.
Keywords: Semantic Web (SW), Mapping Provenance Model to e-learning Ontology.
Scope of the Article: Semantic Web