title: An IR-Based Approach Utilizing Query Expansion for Plagiarism Detection in MEDLINE.
abstract: The identification of duplicated and plagiarized passages of text has become an increasingly active area of research. In this paper, we investigate methods for plagiarism detection that aim to identify potential sources of plagiarism from MEDLINE, particularly when the original text has been modified through the replacement of words or phrases. A scalable approach based on Information Retrieval is used to perform candidate document selection-the identification of a subset of potential source documents given a suspicious text-from MEDLINE. Query expansion is performed using the ULMS Metathesaurus to deal with situations in which original documents are obfuscated. Various approaches to Word Sense Disambiguation are investigated to deal with cases where there are multiple Concept Unique Identifiers (CUIs) for a given term. Results using the proposed IR-based approach outperform a state-of-the-art baseline based on Kullback-Leibler Distance.
authors.forename: Rao Muhammad Adeel
authors.initials: RMA
authors.lastname: Nawab
authors.forename: Mark
authors.initials: M
authors.lastname: Stevenson
authors.forename: Paul
authors.initials: P
authors.lastname: Clough
mesh_terms: D016208:Databases, Factual; D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods*; D016239:MEDLINE; D009323:Natural Language Processing; D015714:Plagiarism; D017432:Unified Medical Language System