Towards a Scientific Research Based on Semantic Web

Nowadays, there are researchers who spend time and energy in writing their own articles then, by accident, they find out or discover that the ideas that they have been working on had already been published by somebody else. Other researchers reapply for already published ideas, by changing information or data type. However, they keep the same approach, they believe that changing all the original article's words by their synonyms will prevent them from being detected by automated plagiarism detection programs. In this paper we propose an ontology of scientific research, and an approach for populating it from websites of scientific publishers, to get a knowledge base for all disciplines, and keep it updated. The implementation of this project will help facilitate scientific research, plagiarism detection and automatic generation of a review article in a specific discipline by providing a system that automatically answers questions asked by researchers.