WiClean: A system for fixing Wikipedia interlinks using revision history patterns

Stephan Goldberg; Tova Milo; Slava Novgorodov; Kathy Razmadze

doi:https://doi.org/10.14778/3352063.3352081

WiClean: A system for fixing Wikipedia interlinks using revision history patterns

Stephan Goldberg, Tova Milo, Slava Novgorodov, Kathy Razmadze

Tel Aviv University

Research output: Contribution to journal › Conference article › peer-review

Abstract

We present WICLEAN, a Wikipedia plug-in that supports the identification and cleaning of certain types of errors in Wikipedia interlinks. The system mines update patterns inWikipedia revision logs, identifies the common time frames in which they occur, and employs them to signal incomplete/inconsistent updates and suggests corrections. We demonstrate the effectiveness of WICLEAN in identifying actual errors in a variety of Wikipedia entity types, interactively employing the VLDB'19 audience as editors to correct the identified errors.

Original language	English
Pages (from-to)	1846-1849
Number of pages	4
Journal	Proceedings of the VLDB Endowment
Volume	12
Issue number	12
DOIs	https://doi.org/10.14778/3352063.3352081
State	Published - 2018
Event	45th International Conference on Very Large Data Bases, VLDB 2019 - Los Angeles, United States Duration: 26 Aug 2017 → 30 Aug 2017

All Science Journal Classification (ASJC) codes

Computer Science (miscellaneous)
General Computer Science

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https://doi.org/10.14778/3352063.3352081

Cite this

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title = "WiClean: A system for fixing Wikipedia interlinks using revision history patterns",

abstract = "We present WICLEAN, a Wikipedia plug-in that supports the identification and cleaning of certain types of errors in Wikipedia interlinks. The system mines update patterns inWikipedia revision logs, identifies the common time frames in which they occur, and employs them to signal incomplete/inconsistent updates and suggests corrections. We demonstrate the effectiveness of WICLEAN in identifying actual errors in a variety of Wikipedia entity types, interactively employing the VLDB'19 audience as editors to correct the identified errors.",

author = "Stephan Goldberg and Tova Milo and Slava Novgorodov and Kathy Razmadze",

note = "Publisher Copyright: {\textcopyright} 2019 VLDB Endowment.; 45th International Conference on Very Large Data Bases, VLDB 2019 ; Conference date: 26-08-2017 Through 30-08-2017",

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AU - Goldberg, Stephan

AU - Milo, Tova

AU - Novgorodov, Slava

AU - Razmadze, Kathy

PY - 2018

Y1 - 2018

N2 - We present WICLEAN, a Wikipedia plug-in that supports the identification and cleaning of certain types of errors in Wikipedia interlinks. The system mines update patterns inWikipedia revision logs, identifies the common time frames in which they occur, and employs them to signal incomplete/inconsistent updates and suggests corrections. We demonstrate the effectiveness of WICLEAN in identifying actual errors in a variety of Wikipedia entity types, interactively employing the VLDB'19 audience as editors to correct the identified errors.

AB - We present WICLEAN, a Wikipedia plug-in that supports the identification and cleaning of certain types of errors in Wikipedia interlinks. The system mines update patterns inWikipedia revision logs, identifies the common time frames in which they occur, and employs them to signal incomplete/inconsistent updates and suggests corrections. We demonstrate the effectiveness of WICLEAN in identifying actual errors in a variety of Wikipedia entity types, interactively employing the VLDB'19 audience as editors to correct the identified errors.

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U2 - https://doi.org/10.14778/3352063.3352081

DO - https://doi.org/10.14778/3352063.3352081

M3 - مقالة من مؤنمر

SN - 2150-8097

VL - 12

SP - 1846

EP - 1849

JO - Proceedings of the VLDB Endowment

JF - Proceedings of the VLDB Endowment

IS - 12

Y2 - 26 August 2017 through 30 August 2017

ER -

WiClean: A system for fixing Wikipedia interlinks using revision history patterns

Abstract

All Science Journal Classification (ASJC) codes

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