Jeannette HoAug 4, 2025

The LD4 Conference was held online last week. Videos of sessions can be found on Youtube:

https://www.youtube.com/watch?v=fVmjHDhS-Fc&list=PLx2ZluWEZtIDTHevbzOScn1mz8-9ITTLL

#ld4 #linkeddata #lod #linkedopendata #semanticweb #knowledgegraphs #libraries #metadata

LD4 2025 - Art & Design Affinity Group Session

YouTube
Wikidata Taiwan 臺灣維基數據社群Jul 27, 2025

2025 LD4 年會：真實世界中的鏈結資料

LD4 年會是 LD4 社群舉辦的年度社群聚會，自 2019 年每年舉辦今年已經是第六屆。今年以「真實世界中的鏈結資料」為主題在 7 月 28 日至 30 日一連三天的全線上活動，聚焦討論館聯機構與各文化機構應該如何應用鏈結資料(Linked Data)在館務、資料應用等多元議題，其中也包含 Wikidata 相關的應用。

活動以全線上方式進行，相關資訊可參閱官方網站：https://sites.google.com/view/2025-ld4-conference/home

#LD4 #LD4conference
#Wikidata #維基數據 #維基資料
#活動 #event

Coalition for Networked InfoSep 10, 2024
Registration is open for #LD4 2024 Conference: Building Community for #LinkedOpenData October 7-11, 2024. The conference is free to attend and completely virtual. Register at 🔗https://2024ld4.sched.com/
LD4 2024 Conference Schedule

Check out the schedule for LD4 2024 Conference

saarikAug 19, 2024

2024 LD4 Conference: Building Community for Linked Open Data,
7-11 October 2024
#LD4 #LD4_2024
https://sites.google.com/view/2024-ld4-conference/

CFP deadline: August 25, 2024
Submission form: https://forms.gle/jYXkFMYMVBVSYd6o7

"We are accepting proposals for content in a variety of formats and we invite you to submit your proposal to be part of creating this conference! By bringing together a broad range of perspectives, the conference seeks to foster a community of practice for linked data in cultural heritage institutions."

2024 LD4 Conference

The 2024 LD4 Conference will be held virtually 7th - 11th October.

Mara CaelinJul 13, 2023
Getting ready to join my #ld4 Rare Materials Affinity Group colleagues for A community developed BIBFRAME profile for the description of Rare Books. The session (11am ET) will be live-streamed and recorded on LD4’s YouTube channel! #LinkedData #ld4_2023 #LD4_23 #RareBooks #bibframe
John Mark OckerbloomJul 13, 2023
Today's #LD4_2023 sessions start with Yinlin Chen discussing using a #LLM to generate SPARQL queries on DBpedia based on supplied questions. There is some evidence that suitably trained large language models can generate half-decent boilerplate code (though they have attribution and copyright issues), though their accuracy may vary widely. I'll be curious to see how well it works in this case. (SPARQL queries typically include a fair bit of boilerplate). #LD4
Show threadJohn Mark OckerbloomJul 12, 2023
One thing that makes it work in his system is that librarians who notice problems with the data reconciliation can fix the data easily enough that special case processing is not required. (It's itself an impressive design that allows that to happen; I've worked with other systems where it's hard enough for people who notice a problem to correct the data and make the correction stick that it often doesn't happen.) #LD4_2023 #LD4
John Mark OckerbloomJul 12, 2023
In Richard Wallis's #LD4_2023 talk on a linked data discovery & management system for the Singapore national library & archives, I'm particularly impressed by the entity reconciliation process he's discussing. With messy data, you often have many different text strings in different records describing the same entity, so it's vital that those be normalized. He describes some interesting work designing similarity assessments between different strings in the bibliographic & authority data. #LD4
John Mark OckerbloomJul 12, 2023
Today's #LD4_2023 sessions are starting now. Here's the schedule: https://2023ld4conferenceonlinkedda.sched.com/ #LD4
2023 LD4 Conference on Linked Data Schedule

Check out the schedule for 2023 LD4 Conference on Linked Data

John Mark OckerbloomJul 11, 2023
Peggy Greisinger discusses the chapter she co-authored on privacy of personal information (specifically of creators in name authority records). Many authority and linked data knowledge bases have lots of personal information, and it's usually not clear whether the people want all that info widely available It's good to have well-established ways to managec and keep track of information on consent for providing that info. #LD4_2023 #LD4 (Right now it's very ad hoc on different platforms.)