Conceptual similarity and graph-based method for plagiarism detection
Plagiarism is a form of academic misconduct. It has increased rapidly because it is now quick and easy to reach data and information through electronic documents and the Internet. The problem occurs when found documents content is illegal and without permission or citation, this problem is known as...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Published: |
Asian Research Publishing Network (A R P N)
2011
|
| Subjects: |
| _version_ | 1796858624178388992 |
|---|---|
| author | Osman, Ahmed Hamza Salim, Naomie Binwahlan, Mohammed Salem Hentably, Hamza Ali, Albaraa M. |
| author_facet | Osman, Ahmed Hamza Salim, Naomie Binwahlan, Mohammed Salem Hentably, Hamza Ali, Albaraa M. |
| author_sort | Osman, Ahmed Hamza |
| collection | ePrints |
| description | Plagiarism is a form of academic misconduct. It has increased rapidly because it is now quick and easy to reach data and information through electronic documents and the Internet. The problem occurs when found documents content is illegal and without permission or citation, this problem is known as plagiarism. One of the major challenges is to detect the plagiarism and illegal copy. This paper discusses a new representation method for text documents called text graph-based representation. The proposed method does not represent the content of a text document as a graph only, but also captures the underlying semantic meaning in terms of the relationships among its concepts in order to defeat the difficulty which the traditional plagiarism detection systems face with some kinds of plagiarism such as complicated plagiarism in which users can reword the plagiarized part or replace some words by their synonyms. The experiments have been carried out using PAN-PC-09 standardization of plagiarism detection corpus. The results showed that our method remarkably outperforms the modern methods for plagiarism detection. |
| first_indexed | 2024-03-05T19:15:13Z |
| format | Article |
| id | utm.eprints-44810 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T19:15:13Z |
| publishDate | 2011 |
| publisher | Asian Research Publishing Network (A R P N) |
| record_format | dspace |
| spelling | utm.eprints-448102017-09-14T01:54:43Z http://eprints.utm.my/44810/ Conceptual similarity and graph-based method for plagiarism detection Osman, Ahmed Hamza Salim, Naomie Binwahlan, Mohammed Salem Hentably, Hamza Ali, Albaraa M. PN Literature (General) Plagiarism is a form of academic misconduct. It has increased rapidly because it is now quick and easy to reach data and information through electronic documents and the Internet. The problem occurs when found documents content is illegal and without permission or citation, this problem is known as plagiarism. One of the major challenges is to detect the plagiarism and illegal copy. This paper discusses a new representation method for text documents called text graph-based representation. The proposed method does not represent the content of a text document as a graph only, but also captures the underlying semantic meaning in terms of the relationships among its concepts in order to defeat the difficulty which the traditional plagiarism detection systems face with some kinds of plagiarism such as complicated plagiarism in which users can reword the plagiarized part or replace some words by their synonyms. The experiments have been carried out using PAN-PC-09 standardization of plagiarism detection corpus. The results showed that our method remarkably outperforms the modern methods for plagiarism detection. Asian Research Publishing Network (A R P N) 2011 Article PeerReviewed Osman, Ahmed Hamza and Salim, Naomie and Binwahlan, Mohammed Salem and Hentably, Hamza and Ali, Albaraa M. (2011) Conceptual similarity and graph-based method for plagiarism detection. Journal of Theoretical and Applied Information Technology, 32 (2). pp. 135-145. ISSN 1992-8645 |
| spellingShingle | PN Literature (General) Osman, Ahmed Hamza Salim, Naomie Binwahlan, Mohammed Salem Hentably, Hamza Ali, Albaraa M. Conceptual similarity and graph-based method for plagiarism detection |
| title | Conceptual similarity and graph-based method for plagiarism detection |
| title_full | Conceptual similarity and graph-based method for plagiarism detection |
| title_fullStr | Conceptual similarity and graph-based method for plagiarism detection |
| title_full_unstemmed | Conceptual similarity and graph-based method for plagiarism detection |
| title_short | Conceptual similarity and graph-based method for plagiarism detection |
| title_sort | conceptual similarity and graph based method for plagiarism detection |
| topic | PN Literature (General) |
| work_keys_str_mv | AT osmanahmedhamza conceptualsimilarityandgraphbasedmethodforplagiarismdetection AT salimnaomie conceptualsimilarityandgraphbasedmethodforplagiarismdetection AT binwahlanmohammedsalem conceptualsimilarityandgraphbasedmethodforplagiarismdetection AT hentablyhamza conceptualsimilarityandgraphbasedmethodforplagiarismdetection AT alialbaraam conceptualsimilarityandgraphbasedmethodforplagiarismdetection |