Improving Synoptic Querying for Source Retrieval

D 2015

Improving Synoptic Querying for Source Retrieval

SUCHOMEL, Šimon and Michal BRANDEJS

Basic information

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

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

France

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

References:

URL

RIV identification code

RIV/00216224:14330/15:00084856

Organization unit

Faculty of Informatics

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

Abstract

V originále

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 project

Name: 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

Files attached

pan15.pdf

Find similar documents

Citovat

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.

@inproceedings{1318540,
   author = {Suchomel, Šimon and Brandejs, Michal},
   address = {Toulouse, France},
   booktitle = {Working Notes of the 6th International Conference of the {CLEF} Initiative},
   keywords = {source retrieval; suspicious document; plagiarism; plagiarism detection; query performance; search engine's queries; retrieval analysis; candidate documents retrieval; keywords; TF-IDF},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {Toulouse, France},
   pages = {1-8},
   publisher = {CEUR},
   title = {Improving Synoptic Querying for Source Retrieval},
   url = {http://ceur-ws.org/Vol-1391/},
   year = {2015}
}

TY  - JOUR
ID  - 1318540
AU  - Suchomel, Šimon - Brandejs, Michal
PY  - 2015
TI  - Improving Synoptic Querying for Source Retrieval
PB  - CEUR
CY  - Toulouse, France
KW  - source retrieval
KW  - suspicious document
KW  - plagiarism
KW  - plagiarism detection
KW  - query performance
KW  - search engine's queries
KW  - retrieval analysis
KW  - candidate documents retrieval
KW  - keywords
KW  - TF-IDF
UR  - http://ceur-ws.org/Vol-1391/
L2  - http://ceur-ws.org/Vol-1391/
N2  - 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.
ER  -

SUCHOMEL, Šimon and Michal BRANDEJS. Improving Synoptic Querying for Source Retrieval. Online. In \textit{Working Notes of the 6th International Conference of the $\{$CLEF$\}$ Initiative}. Toulouse, France: CEUR, 2015, p.~1-8. ISSN~1613-0073.

Detailed Information on Publication Record