Employing Wikidata to Foster Scholarly Research - Lightning Talk at WikidataCon 2017 - Adelheid Heftberger



Since September 2016 a group of scholars (Adelheid Heftberger, Jakob Höper, Claudia Müller-Birn, Niels-Oliver Walkowski, Eva Zangerle) coming from diverse professional backgounds have worked together on developing a sustainable and feasible way to bring factual knowledge from scholarly articles in Apparatus to Wikidata. Wikidata is a collaboratively edited knowledge base operated by the Wikimedia Foundation. It is intended to provide a common source of data which can be used by Wikimedia projects such as Wikipedia, and by anyone else, under a public domain license.
The presented work shows how Wikidata’s knowledge base can benefit from scholarly research results and how scholars can contribute to Wikidata without the need to understand its logic completely. Furthermore, it demonstrates how the consistent use of properties in Wikidata can be supported and how the creation of data into Wikidata can be tied more closely with research contexts.
We show how the semantic annotation tool neonion, which was developed by the Freie University Berlin, allows to create RDF triples by annotating relevant parts within the journal article. The tool is tightly coupled both with the recommended software Snoopy and Wikidata. Snoopy (developed by the University of Innsbruck) supports the annotation process by recommending suitable and missing properties from Wikidata for specific items. We aim to automatically ingest the annotations into Wikidata (at the moment, test.wikidata.org is used) without further effort by the creator. We believe that both workflow and toolchain are transferable to other use-cases.

Associated persons and institutions:

Adelheid Heftberger (Brandenburg Center for Media Studies, Potsdam)

Jakob Höper (Berlin-Brandenburg Academy of Sciences and Humanities/Freie University Berlin)

Claudia Müller-Birn (Freie University Berlin)

Niels-Oliver Walkowski (Berlin-Brandenburg Academy of Sciences and Humanities)

Eva Zangerle (University of Innsbruck)

Additional links: https://github.com/FUB-HCC/neonionhttps://dbis.uibk.ac.at/semistructured-data-and-recommendations