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demo video for project 5 #33

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3 changes: 3 additions & 0 deletions ...ocabulary as Wikidata lexemes and link their senses to Wikidata items/readme.md
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Expand Up @@ -35,8 +35,11 @@ Wikidata is a [FAIR](https://en.wikipedia.org/wiki/FAIR_data) and open semantic
* [Text-to-lexemes](https://ordia.toolforge.org/text-to-lexemes)

## Outputs

The minimal outcome of this hackathon project would be the documentation of a workflow - for at least one BiCIKL infrastructure - that covers in detail the steps listed under “2” in the methodology section above, ideally based on use cases (as per “1”) for which automation (as per “3”) is within reach. In the long run, doing this systematically for one or more of the BiCIKL research infrastructures will help disambiguate ambiguous terms better and recognize biodiversity-related entities with higher precision across a growing range of linguistic and thematic contexts and document types. Such improved workflows can help improve the information in Wikidata, thereby providing the basis for a positive data quality feedback loop between content mining and Wikidata-based curation of linguistic and subject-matter contexts for such content. For documentation of a similar event focused on climate-related lexemes, see [Climate Lexeme Week](https://www.wikidata.org/wiki/Wikidata:WikiProject_Climate_Change/Climate_lexeme_week).

* [Demo video](https://youtu.be/Jm-epCOfMrQ) showing how to index a given string as a lexeme in Wikidata and how to link this to the corresponding Wikidata item.

## Interested individuals
*Please list your name, link it to your GitHub profile and say a few words about what you'd like to do in the framework of this hackathon. Feel free to add further information, e.g. ORCID, Wikimedia user name or social media handles.*
- [Daniel Mietchen](https://github.com/Daniel-Mietchen) ([0000-0001-9488-1870](https://orcid.org/0000-0001-9488-1870), [User:Daniel Mietchen](https://www.wikidata.org/wiki/User:Daniel_Mietchen), [@EvoMRI](https://twitter.com/EvoMRI)): I plan to focus on vocabulary related to species that are invasive, endangered, recently extinct or newly described.
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