Identifying Related Work and Plagiarism by Citation Analysis
| Type of Publication: | Journal article |
| URI (citable link): | http://nbn-resolving.de/urn:nbn:de:bsz:352-0-285689 |
| Author: | Gipp, Bela |
| Year of publication: | 2011 |
| Published in: | Bulletin of IEEE Technical Committee on Digital Libraries ; 7 (2011), 1. - ISSN 1937-7266 |
| Summary: |
This updated and revised paper gives an overview of my PhD research. It focuses on two newly developed approaches. Citation Proximity Analysis (CPA) allows the identification of related work by analyzing the co-occurrence of citations within documents. In contrast to co-citation analysis various factors, such as the proximity of citations to each other, are taken into account. The second approach is called Citation based Plagiarism Detection (CbPD). In comparison to the currently used text-based plagiarism detection approaches this citation-analyzing approach enables a better detection rate in identifying plagiarism forms such as paraphrasing, translations and idea plagiarism.
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| Subject (DDC): | 004 Computer Science |
| Keywords: | Document Similarity, Relatedness, Clustering, Plagiarism Detection, Duplicate Detection, Citation Analysis, Citation Proximity Analysis, Citation Order Analysis, Language Independent |
| Link to License: | In Copyright |
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GIPP, Bela, 2011. Identifying Related Work and Plagiarism by Citation Analysis. In: Bulletin of IEEE Technical Committee on Digital Libraries. 7(1). ISSN 1937-7266
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