DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Analysis of Consistency between Wikidata and Wikipedia Categories

Feddoul, Leila and Löffler, Frank and Schindler, Sirko (2022) Analysis of Consistency between Wikidata and Wikipedia Categories. 3rd Wikidata Workshop, 24. Oct. 2022, Online.

[img] PDF


Wikipedia categories play a significant role in organizing articles by topic. They form a hierarchy, which groups related articles into larger collections. Wikidata provides a corresponding item for each category and allows to define membership of other items to the specific category by a SPARQL query or by specifying classes and properties. This provides us with multiple, redundant sources of category membership which may deviate quite substantially. In this paper, we investigate inconsistencies between Wikipedia and Wikidata category members and analyze possible reasons. We propose a candidate category generation and evaluation workflow that traverses the category hierarchy of Wikipedia in all available languages and compares the results with information obtained from Wikidata. This workflow can be executed either online using the publicly available endpoints or offline based on the provided dumps. Furthermore, we formulate concrete suggestions to harmonize category membership definitions between Wikipedia and Wikidata.

Item URL in elib:https://elib.dlr.de/188534/
Document Type:Conference or Workshop Item (Speech)
Title:Analysis of Consistency between Wikidata and Wikipedia Categories
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Feddoul, LeilaUNSPECIFIEDhttps://orcid.org/0000-0001-8896-8208
Löffler, FrankUNSPECIFIEDhttps://orcid.org/0000-0001-6643-6323
Schindler, SirkoUNSPECIFIEDhttps://orcid.org/0000-0002-0964-4457
Date:October 2022
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Keywords:Wikidata, Wikipedia, categories, consistency
Event Title:3rd Wikidata Workshop
Event Location:Online
Event Type:Workshop
Event Dates:24. Oct. 2022
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:other
DLR - Research area:Raumfahrt
DLR - Program:R - no assignment
DLR - Research theme (Project):R - no assignment
Location: Jena
Institutes and Institutions:Institute of Data Science > Data Management and Enrichment
Deposited By: Schindler, Sirko
Deposited On:02 Nov 2022 08:27
Last Modified:14 Nov 2022 09:58

Repository Staff Only: item control page

Help & Contact
electronic library is running on EPrints 3.3.12
Website and database design: Copyright © German Aerospace Center (DLR). All rights reserved.