Wikidata:WikidataCon 2017/Submissions/The Zika corpus as a test case for exploring knowledge around a specific topic
This is an Open submission for WikidataCon 2017 that has not yet been reviewed by the members of the Program Committee.
- Submission no. 63
- Title of the submission
- The Zika corpus as a test case for exploring knowledge around a specific topic
- Author(s) of the submission
- E-mail address
daniel.mietchen
virginia.edu
- Country of origin
- Germany
- Affiliation, if any (organisation, company etc.)
Data Science Institute, University of Virginia
- Type of session
Lightning talk
- Length of session
- 10min
- Ideal number of attendees
- 20-30
- Abstract
Since late 2015, Wikidata items with some relation to Zika virus (Q202864) have been started and interlinked in a systematic fashion, which has led to the Zika corpus. It is used for exploring information around this topic but also has found secondary uses, e.g. testing purposes and as a teaching resource. In this session, I will outline how the corpus has grown, how it is structured, how it is used, what could come next and what we have learned in the process.
- What will attendees take away from this session?
- A better idea on the challenges and opportunities of growing Wikidata content by topic are rather than by item, class, language or property.
- Slides or further information
Slides will be linked from here by the time the session starts.
- Special requests
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