Přehled o publikaci
2015
Improving Synoptic Querying for Source Retrieval
SUCHOMEL, Šimon and Michal BRANDEJSBasic information
Original name
Improving Synoptic Querying for Source Retrieval
Authors
SUCHOMEL, Šimon and Michal BRANDEJS
Edition
Toulouse, France, Working Notes of the 6th International Conference of the {CLEF} Initiative, p. 1-8, 8 pp. 2015
Publisher
CEUR
Other information
Language
English
Type of outcome
Proceedings paper
Field of Study
Informatics
Country of publisher
France
Confidentiality degree
is not subject to a state or trade secret
Publication form
electronic version available online
References:
Marked to be transferred to RIV
Yes
RIV identification code
RIV/00216224:14330/15:00084856
Organization
Fakulta informatiky – Repository – Repository
ISSN
Keywords in English
source retrieval; suspicious document; plagiarism; plagiarism detection; query performance; search engine's queries; retrieval analysis; candidate documents retrieval; keywords; TF-IDF
Links
LA09016, research and development project.
Changed: 2/9/2020 10:16, RNDr. Daniel Jakubík
Abstract
In the original language
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.
