Lydia Pintscher
(EN)
Lydia Pintscher is a life-long free software and open culture enthusiast. She studied computer science at the University of Karlsruhe. She works for Wikimedia Deutschland as the Portfolio Lead for Wikidata and dedicate a lot of my free time to KDE as the Vice-President of KDE e.V.
(ZH)
Lydia Pintscher 擁有卡爾斯魯爾理工學院電腦科學學位,並在自由軟體以及開放社群領域耕耘多年。同時 Lydia Pintscher 也是德國維基媒體協會的產品經理,閒暇之餘 Lydia Pintscher 也是 KDE 社群的活躍成員並身兼 KDE e.v. 副會長之職。
Sessions
(EN)
In this session we'll take a moment to look back at some of the amazing things that happened over the past year around Wikidata. Then we'll do some crystal ball reading and look into the future and exciting things that will happen over the next year.
(ZH)
在接下來的時間中,我們將會花一點時間回顧一下過去幾年中維基數據的大事紀。然後我們將會向前展望未來,預測一下維基數據明年一年的前景如何。
(EN)
Wikidata's data is there to be used - to build useful and fun applications that bring knowledge to everyone. In this session we will dive into the new Wikibase REST API, that will make it easier for people to build applications on top of Wikidata's data.
(ZH)
維基數據並不僅僅是保存資料,更要藉由這些資料,以有用且有趣的方式,將知識帶給眾人。在本場次的時間中我們將會向各位介紹我們新的 Wikibase REST API,希望這個新的工具可以讓人們在使用維基數據的資料來建立應用程式時能夠更加輕鬆愜意。
(EN)
The Wikidata Birthday presents lightning talks sessions is the traditional format where community members can present their gifts to the Wikidata community in a few minutes.
Did you prepare a present for Wikidata's birthday and would like to present it to the community? You can sign up for the birthday presents lightning talks session! Please see the instructions and sign up here: https://etherpad.wikimedia.org/p/WikidataCon2023-BirthdayLTsession
(ZH)
Wikidata birthday presents lightning talks 是一個傳統的活動段落,社群成員們可以以簡短的幾分鐘快速的向維基數據獻上他們的禮物。
(EN)
Wikidata describes so many different things in its more than 100 Million Items and how they relate to each other. That is a complex task and at times pretty messy. In this session we will look at some of the different types of issues you'll find in Wikidata's ontology, why they are problematic and what we can do about them together.
(ZH)
維基數據擁有超過 1 億個項目,之中所描述的關係與資料種類更是多樣。這是一個非常複雜的系統,而且在某些狀況下,非常的混亂。在本場次的時間中,我們將會簡單介紹幾個扎根於維基數據中的本體論議題,說明為甚麼他們會造成工作上的困難,以及可能的解決辦法。