Improving Synoptic Querying for Source Retrieval

D 2015

Improving Synoptic Querying for Source Retrieval

SUCHOMEL, Šimon a Michal BRANDEJS

Základní údaje

Originální název

Improving Synoptic Querying for Source Retrieval

Autoři

SUCHOMEL, Šimon (203 Česká republika, domácí) a Michal BRANDEJS (203 Česká republika, garant, domácí)

Vydání

Toulouse, France, Working Notes of the 6th International Conference of the {CLEF} Initiative, od s. 1-8, 8 s. 2015

Nakladatel

CEUR

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Francie

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

elektronická verze "online"

Odkazy

URL

Kód RIV

RIV/00216224:14330/15:00084856

Organizační jednotka

Fakulta informatiky

ISSN

Klíčová slova anglicky

source retrieval; suspicious document; plagiarism; plagiarism detection; query performance; search engine's queries; retrieval analysis; candidate documents retrieval; keywords; TF-IDF

Štítky

candidate document retrieval, PAN, Plagiarism, plagiarism detection, source retrieval

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 5. 5. 2016 15:03, RNDr. Pavel Šmerk, Ph.D.

Anotace

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.

Návaznosti

LA09016, projekt VaV

Název: Účast ČR v European Research Consortium for Informatics and Mathematics (ERCIM) (Akronym: ERCIM)

Investor: Ministerstvo školství, mládeže a tělovýchovy ČR, Účast ČR v European Research Consortium for Informatics and Mathematics

Přiložené soubory

pan15.pdf

Vyhledat podobné dokumenty

Citovat

SUCHOMEL, Šimon a 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, s. 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 a 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, s.~1-8. ISSN~1613-0073.

Podrobný výpis o publikaci