
Mapping Provenance Model to e-learning Ontology
Author(s) -
Amit Kumar Bajpai,
Rajiv Pandey,
S P Tripathi
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.j9041.0881019
Subject(s) - computer science , world wide web , credibility , semantic web , ontology , information retrieval , identifier , context (archaeology) , social semantic web , web resource , set (abstract data type) , object (grammar) , resource (disambiguation) , artificial intelligence , paleontology , computer network , philosophy , epistemology , political science , law , biology , programming language
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.