Methods for Identifying Versioned and Plagiarized Documents

By Timothy C. Hoad, Justin Zobel. J. Assoc. Inf. Sci. Technol., 2003

390 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems

View Paper: https://www.semanticscholar.org/paper/e01ec60bf6cbc4643fcb0ff01018ccea146b285a

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Citations in the corpus

Deduplication of Scholarly Documents using Locality Sensitive Hashing and Word Embeddings (2020, methodology): “Examples include deduplication for detecting plagiarised content (Hoad and Zobel, 2003), (Bernstein and Zobel, 2004), improving quality of web search (Manku et al.”
Efficient parallel set-similarity joins using MapReduce (2010, background): “A list of possible applications includes: detecting near duplicate web-pages in web crawling [14], document clustering[5], plagiarism detection [15], master data management, making recommendations to users based on their similarity to other users in query refinement [22], mining in social networking”
The Evaluation of Sentence Similarity Measures (2008, methodology): “Identity measure (simidentity) [9] is another variation of TF-IDF similarity measure originally proposed as a measure for identifying plagiarized documents or co-derivation.”
Efficient similarity joins for near duplicate detection (2008, background): “include document clustering [6], finding replicated Web collections [9], detecting plagiarism [20], community mining in a social network site [25], collaborative filtering [3] and discovering large dense graphs [15].”
Detecting Phishing Web Pages with Visual Similarity Assessment Based on Earth Mover's Distance (EMD) (2006, background): “…phishing Web page appear and react exactly the same as the real one does, 2. using a script or images to cover the address bar to scam users into believing they have entered the correct Web sites, and 3. using visual-based content (Image, Flash, JavaApplet, etc.) rather than HTML to avoid…”
Mining Query Logs: Turning Search Usage Data into Knowledge (2010, background): “Shingles have already been used in the past for clustering text collections, [50] and for detecting duplicate pages [63, 102].”
Finding near-duplicate web pages: a large-scale evaluation of algorithms (2006, neutral): “Recently Hoad and Zobel [ 10 ] developed and compared methods for identifying versioned and plagiarised documents.”
Auto-grouping emails for faster e-discovery (2011, methodology): “Prior work has suggested that substrings of 3-5 words are good [14].”
Redundant documents and search effectiveness (2005, methodology): “There are several methods available for determining syntactic similarity between documents in a text collection, such as the I-Match algorithm of Chowdhury et al. (2002) and relative-frequency techniques such as those of Hoad & Zobel (2003) and Shivakumar & Garc´ia-Molina (1995).”
Clustered Sequence Representation for Fast Homology Search (2007, neutral): “For an overview of existing chunk selection methods, we refer the reader to Hoad and Zobel (2003) or Bernstein and Zobel (2004).”
Detecting near-duplicates for web crawling (2007, background): “[36] T. C. Hoad and J. Zobel.”
Information Retrieval for E-Discovery (2013, background): “, Microsoft Word) can store version history information, allowing earlier versions of a document to be recreated; and near-duplicate detection systems may enable the recreation of version-of relationships between files that are not physically connected in this way [68].”