Citation-based plagiarism detection [electronic resource] : detecting disguised and cross-language plagiarism using citation pattern analysis
| 000 | 00000nam u2200205 a 4500 | |
| 001 | 000046050118 | |
| 005 | 20201020142928 | |
| 006 | m d | |
| 007 | cr | |
| 008 | 201005s2014 gw a ob 001 0 eng d | |
| 020 | ▼a 9783658063948 | |
| 040 | ▼a 211009 ▼c 211009 ▼d 211009 | |
| 050 | 4 | ▼a QA75.5-76.95 |
| 082 | 0 4 | ▼a 006.4/2 ▼2 23 |
| 084 | ▼a 006.42 ▼2 DDCK | |
| 090 | ▼a 006.42 | |
| 100 | 1 | ▼a Gipp, Béla. |
| 245 | 1 0 | ▼a Citation-based plagiarism detection ▼h [electronic resource] : ▼b detecting disguised and cross-language plagiarism using citation pattern analysis / ▼c Bela Gipp. |
| 260 | ▼a Wiesbaden : ▼b Springer Fachmedien Wiesbaden : ▼b Imprint: Springer Vieweg, ▼c 2014. | |
| 300 | ▼a 1 online resource (xxvi, 350 p.) : ▼b ill. | |
| 500 | ▼a Title from e-Book title page. | |
| 504 | ▼a Includes bibliographical references and index. | |
| 520 | ▼a Plagiarism is a problem with far-reaching consequences for the sciences. However, even today’s best software-based systems can only reliably identify copy&paste plagiarism. Disguised plagiarism forms, including paraphrased text, cross-language plagiarism, as well as structural and idea plagiarism often remain undetected. This weakness of current systems results in a large percentage of scientific plagiarism going undetected. Bela Gipp provides an overview of the state-of-the art in plagiarism detection and an analysis of why these approaches fail to detect disguised plagiarism forms. The author proposes Citation-based Plagiarism Detection to address this shortcoming. Unlike character-based approaches, this approach does not rely on text comparisons alone, but analyzes citation patterns within documents to form a language-independent "semantic fingerprint" for similarity assessment. The practicability of Citation-based Plagiarism Detection was proven by its capability to identify so-far non-machine detectable plagiarism in scientific publications. Contents Current state of plagiarism detection approaches and systems Citation-based Plagiarism Detection Target Groups Readers interested in the problem of plagiarism in the sciences Faculty and students from all disciplines, but especially computer science The Author Bela Gipp is a postdoctoral researcher at the University of California, Berkeley. | |
| 530 | ▼a Issued also as a book. | |
| 538 | ▼a Mode of access: World Wide Web. | |
| 650 | 0 | ▼a Optical pattern recognition. |
| 650 | 0 | ▼a Information retrieval. |
| 650 | 0 | ▼a Plagiarism. |
| 650 | 0 | ▼a Bibliographical citations. |
| 856 | 4 0 | ▼u https://oca.korea.ac.kr/link.n2s?url=http://dx.doi.org/10.1007/978-3-658-06394-8 |
| 945 | ▼a KLPA | |
| 991 | ▼a E-Book(소장) |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 중앙도서관/e-Book 컬렉션/ | 청구기호 CR 006.42 | 등록번호 E14034978 | 도서상태 대출불가(열람가능) | 반납예정일 | 예약 | 서비스 |