A Novel Approach for Plagiarism Detection Using Semantic Web

Abstract

Internet has equipped people with a great amount of information at hand. Accessing any information on the web is just a matter of a single click. But on the other hand it has lead to a serious threat of plagiarism, as the increased volume of information makes it easier for a person to get any information for copying about a specific topic. Plagiarism is a practice where the work of some author is wrongfully copied by someone and presented as their own. There are number of techniques available for plagiarism detection but their main focus is on keywords matching which proves to be inefficient for detecting modified plagiarism. This paper presents a different approach of detecting plagiarism using semantic web and ontology. In this study two documents are compared against plagiarism where initially pre-processing is performed on both documents. Then the ontologies of the documents are created using protégé editor and finally the individuals of the ontologies are compared using WordNet which gives the degree of plagiarism between the two documents. The experimental results show that the semantic web technologies can be used effectively to check modified plagiarism.

Authors and Affiliations

Reenu Dutta, Dr. Lalit Sen Sharma

Keywords

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  • EP ID EP24554
  • DOI -
  • Views 322
  • Downloads 10

How To Cite

Reenu Dutta, Dr. Lalit Sen Sharma (2017). A Novel Approach for Plagiarism Detection Using Semantic Web. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 5(6), -. https://europub.co.uk/articles/-A-24554