2023年10月28日 –, Main program
(EN)
This sharing is about my personal experience trying to understand the data from Wikidata. Wikidata is an amazing data source where I can find any kind of data about any topic from anywhere. However, it's really hard to understand the meaning of the data that I found for my research. I will share some examples of what I liked to learn from Wikidata and how I failed in the session.
(ZH)
這場分享是我個人在使用維基數據學習其資料架構時的經驗。維基數據是一個蒐錄了各式各樣資料的大平台。然而，要了解這些資料卻是十分的複雜。我將會分享一些我希望從維基數據平台所習得的東西以及我為何失敗。
(EN)
With Wikidata Query Builder, I could easily find all the data with "instance of" something and other conditions from Wikidata. However, when I tried to list all cities (Q515) around the world, the result has so many different kinds of human settlements, some of them were not even close to a city in my comprehension, which was not the result as I expected. How to understand properly to the result items in Wikidata? I always try to figure it out.
(ZH)
藉由維基數據查詢服務建立工具我可以輕易的藉由 “instance of” 以及其他的搜尋限制來快速尋得我所想要的資料。然而，當我希望列出全球所有的城市 (Q515) 時，搜尋結果中卻混雜了各式各樣的人類居住點，其中部分在我的理解中與城市的定義相去甚遠，不用說這些並不是我預期中希望的結果。到底該如何正確的識讀並理解維基數據的搜尋結果？這是我長期以來希望釐清的事。
英文(en)
內容難易度 –簡易
目標聽眾族群 –Everyone, beginners, researchers
選擇發表地點 –臺灣實體活動(亞洲時區友善)
發表形式 –實體發表
(EN)
A designer that hopes accessible data would be a tool to improve design-thinking process and make everything better.
(ZH)
我是一個喜歡資料的設計師，希望藉由資料的力量可以讓設計變成一件更簡單的事。