Plagiarism Detection based on studying correlation between Author, Title and Content

Recently, the problem of plagiarism is becoming an important issue in many debates in the fields of Education and Technology. The wide use and availability of electronic resources makes it easy for students, authors and even academic people to access and use any piece of information and embed it into his/ her own work without proper citation. The problem is raising in an exponential manner the thing which puts the education process under threat. Several tools are presented to solve the problem of automating plagiarism detection each of which has its own good and bad features, but still the traditional way of plagiarism detection through free text search using search engines is considered an accurate and free way to detect plagiarism with the only disadvantage of being a time consuming method. This research intends to present an alternative to plagiarism detection tools by automating the traditional free search process on search engines to detect plagiarism by intelligently extracting selective parts of text from the file subject to check and pass them to search engine in different forms and processing results in order to come up with a decision of committing plagiarism in a certain degree. The approach used in this paper is to make string comparison of the text with the global www, which makes it more comprehensive compared to other plagiarism tools that depend on specific databases.