27 maart 2018

What can you work on at the Wiki Women Tech Storm?

Voor Nederlands: klik hier

Wikipedia contains a wealth of information, but it is not equipped to answer difficult research questions. Questions such as "Which painter has the most street names named after her?" or "What is the largest city in the world with a female mayor?" can not be answered with one press of a button with Wikipedia.

Wikipedia's sister Wikidata, a central repository for the "structured data" of Wikimedia sister projects such as Wikipedia, Wikivoyage and Wikisource, offers that possibility. By means of searches that you can build with programs like Sparql, you can quickly get answers to such questions with Wikidata.

Wikidata exists since 2012 and you can participate in various ways. Examples include matching data with external databases from e.g. museums, linking images of objects automatically to identical items in Wikidata and external databases. Develop a game that challenges other people to make such links in a playful and rewarding way. Also consider assessing and improving existing algorithms to make the search functions even smarter. Of course you can also go deeper into building Sparql queries.

Wikimedia Commons, the image bank behind Wikipedia, contains many images. It is possible to upload large bulk images at once to Wikimedia Commons. Tools are available for this, but of course uploading requires preparatory work. Because how do you ensure that meaningful texts that describe the image come with the images? How are the details of the author and the license automatically added? How do you ensure that others see and use your photos?

During the WikiVrouwen Tech Storm you can familiarize yourself with the above questions. How do you work and which tools can you use for this? Are the tools perhaps not yet optimal and can they be improved? Learn how to connect large amounts of data with smart techniques and to use them to create beautiful visualisations as in this example project 'The Sum of all knowledge'. Or, for example, how you can automatically identify objects depicted in images.

To participate, you do not have to be a whizzkid in the field of ICT. We are looking for women with an interest in ICT at all levels of experience. Are you interested in this work and can you work with (Excel) spreadsheets, or do you learn and work in other areas with databases or software? Do not hesitate to register and indicate where your interest lies. Together we can work on the sum of all knowledge!

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