Reference statistics in wikidata topical subsets

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

Reference statistics in wikidata topical subsets

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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
Title of host publication	Proceedings of the 2nd Wikidata Workshop (Wikidata 2021)
Editors	Lucie-Aimée Kaffee, Simon Razniewski, Aidan Hogan
Publisher	CEUR-WS.org
Number of pages	14
Publication status	Published - 24 Oct 2021
Event	2nd Wikidata Workshop - Virtual, Online Duration: 24 Oct 2021 → 24 Oct 2021 https://wikidataworkshop.github.io/2021/

Conference

Conference	2nd Wikidata Workshop
Abbreviated title	Wikidata 2021
City	Virtual, Online
Period	24/10/21 → 24/10/21
Internet address	https://wikidataworkshop.github.io/2021/

Keywords / Materials (for Non-textual outputs)

Data quality
Gene Wiki
Reference quality
Topical subset
Wikidata
WikiProject

Access to Document

Reference Statistics_BEGHAEIRAVERI_DOA24092021_VOR_CC-BYFinal published version, 609 KBLicence: Creative Commons: Attribution (CC-BY)

Cite this

@inproceedings{5baad661390d478fbc1e4c022d1f6a7c,

title = "Reference statistics in wikidata topical subsets",

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.",

keywords = "Data quality, Gene Wiki, Reference quality, Topical subset, Wikidata, WikiProject",

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

year = "2021",

month = oct,

day = "24",

language = "English",

editor = "Lucie-Aim{\'e}e Kaffee and Simon Razniewski and Aidan Hogan",

booktitle = "Proceedings of the 2nd Wikidata Workshop (Wikidata 2021)",

publisher = "CEUR-WS.org",

note = "2nd Wikidata Workshop, Wikidata 2021 ; Conference date: 24-10-2021 Through 24-10-2021",

url = "https://wikidataworkshop.github.io/2021/",

}

TY - GEN

T1 - Reference statistics in wikidata topical subsets

AU - Beghaeiraveri, Seyed Amir Hosseini

AU - Gray, Alasdair J.G.

AU - McNeill, Fiona J.

PY - 2021/10/24

Y1 - 2021/10/24

N2 - 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.

AB - 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.

KW - Data quality

KW - Gene Wiki

KW - Reference quality

KW - Topical subset

KW - Wikidata

KW - WikiProject

M3 - Conference contribution

AN - SCOPUS:85117916069

BT - Proceedings of the 2nd Wikidata Workshop (Wikidata 2021)

A2 - Kaffee, Lucie-Aimée

A2 - Razniewski, Simon

A2 - Hogan, Aidan

PB - CEUR-WS.org

T2 - 2nd Wikidata Workshop

Y2 - 24 October 2021 through 24 October 2021

ER -

Reference statistics in wikidata topical subsets

Abstract

Conference

Keywords / Materials (for Non-textual outputs)

Access to Document

Fingerprint

Cite this