Experiences of Using WDumper to Create Topical Subsets from Wikidata

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

Experiences of Using WDumper to Create Topical Subsets from Wikidata

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

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Abstract

Wikidata is a general-purpose knowledge graph covering a wide variety of topics with content being crowd-sourced through an open wiki. There are now over 90M interrelated data items in Wikidata which are accessible through a public query endpoint and data dumps. However, execution timeout limits and the size of data dumps make it difficult to use the data. The creation of arbitrary topical subsets of Wikidata, where only the relevant data is kept, would enable reuse of that data with the benefits of cost reduction, ease of access, and flexibility. In this paper, we provide a working definition for topical subsets over the Wikidata Knowledge Graph and evaluate a third-party tool (WDumper) to extract these topical subsets from Wikidata.

Original language	English
Article number	13
Journal	CEUR Workshop Proceedings
Volume	2873
Publication status	Published - 2 Jun 2021
Event	2nd International Workshop On Knowledge Graph Construction: Co-located with the ESWC 2021 - online, Hersonissos, Greece Duration: 6 Jun 2021 → 6 Jun 2021

Keywords

Knowledge graph subsetting
Topical subset
Wdumper
Wikidata

ASJC Scopus subject areas

General Computer Science

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abstract = "Wikidata is a general-purpose knowledge graph covering a wide variety of topics with content being crowd-sourced through an open wiki. There are now over 90M interrelated data items in Wikidata which are accessible through a public query endpoint and data dumps. However, execution timeout limits and the size of data dumps make it difficult to use the data. The creation of arbitrary topical subsets of Wikidata, where only the relevant data is kept, would enable reuse of that data with the benefits of cost reduction, ease of access, and flexibility. In this paper, we provide a working definition for topical subsets over the Wikidata Knowledge Graph and evaluate a third-party tool (WDumper) to extract these topical subsets from Wikidata.",

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AU - Gray, Alasdair J. G.

AU - McNeill, Fiona J.

PY - 2021/6/2

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N2 - Wikidata is a general-purpose knowledge graph covering a wide variety of topics with content being crowd-sourced through an open wiki. There are now over 90M interrelated data items in Wikidata which are accessible through a public query endpoint and data dumps. However, execution timeout limits and the size of data dumps make it difficult to use the data. The creation of arbitrary topical subsets of Wikidata, where only the relevant data is kept, would enable reuse of that data with the benefits of cost reduction, ease of access, and flexibility. In this paper, we provide a working definition for topical subsets over the Wikidata Knowledge Graph and evaluate a third-party tool (WDumper) to extract these topical subsets from Wikidata.

AB - Wikidata is a general-purpose knowledge graph covering a wide variety of topics with content being crowd-sourced through an open wiki. There are now over 90M interrelated data items in Wikidata which are accessible through a public query endpoint and data dumps. However, execution timeout limits and the size of data dumps make it difficult to use the data. The creation of arbitrary topical subsets of Wikidata, where only the relevant data is kept, would enable reuse of that data with the benefits of cost reduction, ease of access, and flexibility. In this paper, we provide a working definition for topical subsets over the Wikidata Knowledge Graph and evaluate a third-party tool (WDumper) to extract these topical subsets from Wikidata.

KW - Knowledge graph subsetting

KW - Topical subset

KW - Wdumper

KW - Wikidata

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M3 - Conference article

SN - 1613-0073

VL - 2873

JO - CEUR Workshop Proceedings

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ER -

Experiences of Using WDumper to Create Topical Subsets from Wikidata

Abstract

Keywords

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