Fuzzy semantic-based string similarity for extrinsic plagiarism detection: Lab report for PAN at CLEF 2010

CEUR Workshop Proceedings

Volumn 1176, Issue , 2010, Pages

  Alzahrani, Salha ^a   Salim, Naomie ^b  

^a TAIF UNIVERSITY   (Saudi Arabia)

^b UNIVERSITI TEKNOLOGI MALAYSIA   (Malaysia)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; FUZZY LOGIC; SEMANTICS;

DETECTION EFFICIENCY; FUZZY SIMILARITY; JACCARD COEFFICIENTS; PERFORMANCE MEASURE; PLAGIARISM DETECTION; POST-PROCESSING STAGES; STRING SIMILARITY; TIME COMPLEXITY;

INTELLECTUAL PROPERTY;

EID: 84922032105     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

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2. Koberstein, J., & Ng, Y.-K. (2006). Using Word Clusters to Detect Similar Web Documents. In Knowledge Science, Engineering and Management (pp. 215-228).
3. Li, Y., McLean, D., Bandar, Z. A., O'Shea, J. D., & Crockett, K. (2006). Sentence similarity based on semantic nets and corpus statistics. IEEE Transactions on Knowledge and Data Engineering, 18(8), 1138-1150.
4. Manning, C. D., Raghavan, P., & Schütze, H. (2008). Web search basics: Nearduplicates and shingling. In Introduction to Information Retrieval (pp. 437-442): Cambridge University Press.
5. Miller, G. A. (1995). WordNet: A Lexical Database for English. Communications of the ACM, 38(11), 39-41.
6. Porter, M. F. (1980). An algorithm for suffix stripping. Program, 14(3), 130-137.
7. Yerra, R., & Ng, Y.-K. (2005). A Sentence-Based Copy Detection Approach for Web Documents. In Fuzzy Systems and Knowledge Discovery (pp. 557-570).