Reference Statistics in Wikidata Topical Subsets

Seyed Amir Hosseini Beghaeiraveri; Alasdair J. G. Gray; Fiona McNeill

Reference Statistics in Wikidata Topical Subsets

Seyed Amir Hosseini Beghaeiraveri, Alasdair J. G. Gray, Fiona McNeill

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Abstract

Wikidata is the only general-purpose open knowledge graph
with the capability of specifying references for every single statement. Currently, about 68% of Wikidata statements have at least one reference but the quality of these references is rarely covered in data quality studies. There is also a lack of a comprehensive framework for evaluating references. In this paper, we investigate the statistics of Wikidata references in 6 topical subsets of Wikidata. We compare these statistics over two Wikidata dumps; one from 2016 and one from 2021.

Original language	English
Article number	3
Journal	CEUR Workshop Proceedings
Volume	2982
Publication status	Published - 14 Oct 2021
Event	2nd Wikidata Workshop 2021 - Duration: 24 Oct 2021 → 24 Oct 2021 https://wikidataworkshop.github.io/2021/

Keywords

Data quality
Gene Wiki
Reference quality
Topical subset
WikiProject
Wikidata

ASJC Scopus subject areas

General Computer Science

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title = "Reference Statistics in Wikidata Topical Subsets",

abstract = "Wikidata is the only general-purpose open knowledge graphwith the capability of specifying references for every single statement. Currently, about 68% of Wikidata statements have at least one reference but the quality of these references is rarely covered in data quality studies. There is also a lack of a comprehensive framework for evaluating references. In this paper, we investigate the statistics of Wikidata references in 6 topical subsets of Wikidata. We compare these statistics over two Wikidata dumps; one from 2016 and one from 2021.",

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author = "{Hosseini Beghaeiraveri}, {Seyed Amir} and Gray, {Alasdair J. G.} and Fiona McNeill",

note = "We have discovered an error in one of the queries used to generate the data in the paper. This has been corrected in the version here. There are minor updates to the data values but no impact on the results of the work.; 2nd Wikidata Workshop 2021, ISWC 2021 ; Conference date: 24-10-2021 Through 24-10-2021",

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language = "English",

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TY - JOUR

T1 - Reference Statistics in Wikidata Topical Subsets

AU - Hosseini Beghaeiraveri, Seyed Amir

AU - Gray, Alasdair J. G.

AU - McNeill, Fiona

N1 - We have discovered an error in one of the queries used to generate the data in the paper. This has been corrected in the version here. There are minor updates to the data values but no impact on the results of the work.

PY - 2021/10/14

Y1 - 2021/10/14

N2 - Wikidata is the only general-purpose open knowledge graphwith the capability of specifying references for every single statement. Currently, about 68% of Wikidata statements have at least one reference but the quality of these references is rarely covered in data quality studies. There is also a lack of a comprehensive framework for evaluating references. In this paper, we investigate the statistics of Wikidata references in 6 topical subsets of Wikidata. We compare these statistics over two Wikidata dumps; one from 2016 and one from 2021.

AB - Wikidata is the only general-purpose open knowledge graphwith the capability of specifying references for every single statement. Currently, about 68% of Wikidata statements have at least one reference but the quality of these references is rarely covered in data quality studies. There is also a lack of a comprehensive framework for evaluating references. In this paper, we investigate the statistics of Wikidata references in 6 topical subsets of Wikidata. We compare these statistics over two Wikidata dumps; one from 2016 and one from 2021.

KW - Data quality

KW - Gene Wiki

KW - Reference quality

KW - Topical subset

KW - WikiProject

KW - Wikidata

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M3 - Conference article

SN - 1613-0073

VL - 2982

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

M1 - 3

T2 - 2nd Wikidata Workshop 2021

Y2 - 24 October 2021 through 24 October 2021

ER -

Reference Statistics in Wikidata Topical Subsets

Abstract

Keywords

ASJC Scopus subject areas

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