#ld4 — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #ld4, aggregated by home.social.
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LD4 Dems holds weekly Tuesday sessions to write letters to Rep. David Schweikert and make protest signs for demonstrations at his office. District postcards and letters for LD candidates get handled here too when available. No experience needed.
RSVP: https://www.mobilize.us/mobilize/event/815649/
For more, subscribe to our newsletter here → https://azadvocacyhub.ghost.io/#/portal/signup
#ArizonaPolitics #LD4 #AZDems Please boost.
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LD4 Dems holds weekly Tuesday sessions to write letters to Rep. David Schweikert and make protest signs for demonstrations at his office. District postcards and letters for LD candidates get handled here too when available. No experience needed.
RSVP: https://www.mobilize.us/mobilize/event/815649/
For more, subscribe to our newsletter here → https://azadvocacyhub.ghost.io/#/portal/signup
#ArizonaPolitics #LD4 #AZDems Please boost.
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LD4 Dems holds weekly Tuesday sessions to write letters to Rep. David Schweikert and make protest signs for demonstrations at his office. District postcards and letters for LD candidates get handled here too when available. No experience needed.
RSVP: https://www.mobilize.us/mobilize/event/815649/
For more, subscribe to our newsletter here → https://azadvocacyhub.ghost.io/#/portal/signup
#ArizonaPolitics #LD4 #AZDems Please boost.
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LD4 Dems holds weekly Tuesday sessions to write letters to Rep. David Schweikert and make protest signs for demonstrations at his office. District postcards and letters for LD candidates get handled here too when available. No experience needed.
RSVP: https://www.mobilize.us/mobilize/event/815649/
For more, subscribe to our newsletter here → https://azadvocacyhub.ghost.io/#/portal/signup
#ArizonaPolitics #LD4 #AZDems Please boost.
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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/
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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/
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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/
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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/
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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/
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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."
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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."
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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."
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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."
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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Today's #LD4_2023 sessions are starting now. Here's the schedule: https://2023ld4conferenceonlinkedda.sched.com/ #LD4
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Today's #LD4_2023 sessions are starting now. Here's the schedule: https://2023ld4conferenceonlinkedda.sched.com/ #LD4
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Today's #LD4_2023 sessions are starting now. Here's the schedule: https://2023ld4conferenceonlinkedda.sched.com/ #LD4
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Today's #LD4_2023 sessions are starting now. Here's the schedule: https://2023ld4conferenceonlinkedda.sched.com/ #LD4
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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.)
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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.)
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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.)
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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.)
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Erin Canning's ethics chapter talks about replatforming (taking data in one place and putting it on another). The functional, contextual, and audience changes involved have both potential benefits and potential risks; the chapter discusses three main ethical questions to consider. (If you've seen discussions in the fediverse about visibility of posts, whether to allow search and quote-embed, and when to federate or defederate, I suspect they raise many of the same issues.) #LD4_2023 #LD4
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Erin Canning's ethics chapter talks about replatforming (taking data in one place and putting it on another). The functional, contextual, and audience changes involved have both potential benefits and potential risks; the chapter discusses three main ethical questions to consider. (If you've seen discussions in the fediverse about visibility of posts, whether to allow search and quote-embed, and when to federate or defederate, I suspect they raise many of the same issues.) #LD4_2023 #LD4
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Erin Canning's ethics chapter talks about replatforming (taking data in one place and putting it on another). The functional, contextual, and audience changes involved have both potential benefits and potential risks; the chapter discusses three main ethical questions to consider. (If you've seen discussions in the fediverse about visibility of posts, whether to allow search and quote-embed, and when to federate or defederate, I suspect they raise many of the same issues.) #LD4_2023 #LD4
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Erin Canning's ethics chapter talks about replatforming (taking data in one place and putting it on another). The functional, contextual, and audience changes involved have both potential benefits and potential risks; the chapter discusses three main ethical questions to consider. (If you've seen discussions in the fediverse about visibility of posts, whether to allow search and quote-embed, and when to federate or defederate, I suspect they raise many of the same issues.) #LD4_2023 #LD4
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The examples in the linked data ethics chapter by @platypus and @Salo all have to do with maintainers of a relied-upon data service not maintaining it in a timely way (either due to temporary issues, or losing the ability or interest to keep it up). Nearly every project will suspend or end its maintenance at some point, but there are important ethical concerns in how you handle that: #LD4_2023 #LD4
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The examples in the linked data ethics chapter by @platypus and @Salo all have to do with maintainers of a relied-upon data service not maintaining it in a timely way (either due to temporary issues, or losing the ability or interest to keep it up). Nearly every project will suspend or end its maintenance at some point, but there are important ethical concerns in how you handle that: #LD4_2023 #LD4
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The examples in the linked data ethics chapter by @platypus and @Salo all have to do with maintainers of a relied-upon data service not maintaining it in a timely way (either due to temporary issues, or losing the ability or interest to keep it up). Nearly every project will suspend or end its maintenance at some point, but there are important ethical concerns in how you handle that: #LD4_2023 #LD4
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The examples in the linked data ethics chapter by @platypus and @Salo all have to do with maintainers of a relied-upon data service not maintaining it in a timely way (either due to temporary issues, or losing the ability or interest to keep it up). Nearly every project will suspend or end its maintenance at some point, but there are important ethical concerns in how you handle that: #LD4_2023 #LD4
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The examples in the linked data ethics chapter by @platypus and @Salo all have to do with maintainers of a relied-upon data service not maintaining it in a timely way (either due to temporary issues, or losing the ability or interest to keep it up). Nearly every project will suspend or end its maintenance at some point, but there are important ethical concerns in how you handle that: #LD4_2023 #LD4
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Multiple fediverse folks (including @platypus, @dsalo, and probably others whose handles I don't know) are among the editors of the book _Ethics in Linked Data_, which will be the topic of a live #LD4_2023 panel session that's about to start! Details here: https://2023ld4conferenceonlinkedda.sched.com/event/1OPUy/ethics-in-linked-data-book-panel. (including a Zoom link if you're signed up for the conference) #LD4
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Multiple fediverse folks (including @platypus, @dsalo, and probably others whose handles I don't know) are among the editors of the book _Ethics in Linked Data_, which will be the topic of a live #LD4_2023 panel session that's about to start! Details here: https://2023ld4conferenceonlinkedda.sched.com/event/1OPUy/ethics-in-linked-data-book-panel. (including a Zoom link if you're signed up for the conference) #LD4
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Multiple fediverse folks (including @platypus, @dsalo, and probably others whose handles I don't know) are among the editors of the book _Ethics in Linked Data_, which will be the topic of a live #LD4_2023 panel session that's about to start! Details here: https://2023ld4conferenceonlinkedda.sched.com/event/1OPUy/ethics-in-linked-data-book-panel. (including a Zoom link if you're signed up for the conference) #LD4
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Multiple fediverse folks (including @platypus, @dsalo, and probably others whose handles I don't know) are among the editors of the book _Ethics in Linked Data_, which will be the topic of a live #LD4_2023 panel session that's about to start! Details here: https://2023ld4conferenceonlinkedda.sched.com/event/1OPUy/ethics-in-linked-data-book-panel. (including a Zoom link if you're signed up for the conference) #LD4
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Multiple fediverse folks (including @platypus, @dsalo, and probably others whose handles I don't know) are among the editors of the book _Ethics in Linked Data_, which will be the topic of a live #LD4_2023 panel session that's about to start! Details here: https://2023ld4conferenceonlinkedda.sched.com/event/1OPUy/ethics-in-linked-data-book-panel. (including a Zoom link if you're signed up for the conference) #LD4
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Today's #LD4_2023 program starts off in less than an hour! Here's the schedule: https://2023ld4conferenceonlinkedda.sched.com/
I won't be able to make the early short talks live (but they, like most of the other sessions, will be recorded and available on Youtube). I am particularly looking forward to the Ethics in Linked Data book panel discussion, which starts at 1pm Eastern US time. #LD4
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Today's #LD4_2023 program starts off in less than an hour! Here's the schedule: https://2023ld4conferenceonlinkedda.sched.com/
I won't be able to make the early short talks live (but they, like most of the other sessions, will be recorded and available on Youtube). I am particularly looking forward to the Ethics in Linked Data book panel discussion, which starts at 1pm Eastern US time. #LD4