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2020 LD4 Conference on Linked Data in Libraries has ended
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Friday, July 31 • 11:10am - 11:40am
VanderBot: Using a Python script to create and update researcher items in Wikidata

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Session recording

VanderBot is a set of Python scripts that scrapes data from departmental websites, then creates or updates researcher records in Wikidata. The code interacts with the Wikidata SPARQL endpoint and API to determine what entities and references already exist in Wikidata and ensure that duplicate information is not uploaded. Although our project is focused on managing Vanderbilt researcher items, the script that writes to the API uses a customizable schema based on the W3C "Generating RDF from Tabular Data on the Web" Recommendation, making it possible to write data about any kind of item using the Wikidata API. This presentation will be most useful to programmers, but may interest anyone who wants to understand more about the Wikibase data model and how Wikidata works "under the hood".

The presentation video as streamed during the session can be viewed on YouTube.

Please write your questions in the Google doc (bit.ly/LD4Conf2020Wikidatafor the Wikidata track.


Session Facilitators
JS

Jackie Shieh

Descriptive Data Management Librarian, Smithsonian Libraries
LW

Liam Wyatt

Project Manager - WikiCite, Wikimedia Foundation

Presenters
avatar for Steve Baskauf

Steve Baskauf

Data Science and Data Curation Specialist, Jean & Alexander Heard Libraries, Vanderbilt University
In addition to my current work at the Vanderbilt Libraries, I'm a former 30 year science educator. I'm an active participant in Biodiversity Information Standards (also known as TDWG), where I serve as convener of the Audubon Core Multimedia Metadata Standard Maintenance Group. I've... Read More →


Friday July 31, 2020 11:10am - 11:40am PDT