SUCHOMEL, Šimon and Michal BRANDEJS. Improving Synoptic Querying for Source Retrieval. Online. In Working Notes of the 6th International Conference of the {CLEF} Initiative. Toulouse, France: CEUR, 2015, p. 1-8. ISSN 1613-0073.
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Original name Improving Synoptic Querying for Source Retrieval
Authors SUCHOMEL, Šimon (203 Czech Republic, belonging to the institution) and Michal BRANDEJS (203 Czech Republic, guarantor, belonging to the institution).
Edition Toulouse, France, Working Notes of the 6th International Conference of the {CLEF} Initiative, p. 1-8, 8 pp. 2015.
Publisher CEUR
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher France
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
WWW URL
RIV identification code RIV/00216224:14330/15:00084856
Organization unit Faculty of Informatics
ISSN 1613-0073
Keywords in English source retrieval; suspicious document; plagiarism; plagiarism detection; query performance; search engine's queries; retrieval analysis; candidate documents retrieval; keywords; TF-IDF
Tags candidate document retrieval, PAN, Plagiarism, plagiarism detection, source retrieval
Tags International impact, Reviewed
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 5/5/2016 15:03.
Abstract
Source retrieval is a part of plagiarism discovery process, where only a selected set of candidate documents are retrieved from a large corpus of potential source documents and passed for detailed document comparison in order to highlight potential plagiarism. This paper describes used methodology and the architecture of source retrieval system developed for PAN 2015 lab on uncovering plagiarism, authorship, and social software misuse. The system is based on our previous systems used at PAN since 2012. The majority of features were adopted with some improvements described in this paper. The paper analyzes used methodology and discuss the queries performance. The paper provides explanation for many implementation settings in the source retrieval process. The source retrieval subsystem forms an integral part of a modern system for plagiarism discovery.
Links
LA09016, research and development projectName: Účast ČR v European Research Consortium for Informatics and Mathematics (ERCIM) (Acronym: ERCIM)
Investor: Ministry of Education, Youth and Sports of the CR, Czech Republic membership in the European Research Consortium for Informatics and Mathematics
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