#ld4_2023 — Public Fediverse posts

Which is what the DAAP project is trying to challenge / change in some small way. I talked about our approach to data modeling during the #LD4_2023 conference last week (starting at about 16:30mins in): https://www.youtube.com/live/unAMoqloNnc?feature=share
(PS this is ongoing work started around 2019 when I was still researching the potential for using Wikibase in more artistic applications)

Which is what the DAAP project is trying to challenge / change in some small way. I talked about our approach to data modeling during the #LD4_2023 conference last week (starting at about 16:30mins in): https://www.youtube.com/live/unAMoqloNnc?feature=share
(PS this is ongoing work started around 2019 when I was still researching the potential for using Wikibase in more artistic applications)

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

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

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

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

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

#LD4_2023 Interesting visualization tool made with Django (Python) for WIkidata SPARQL searches.

Title: "WikiframeVG: A SPARQL Template-based Wikiframe for Wikidata Graph Exploration" Watch the video:
https://www.youtube.com/live/VYoD6-aw80M?feature=share By: Darnelle Melvin @metadataguy ja Andre Hulet @AndreHulet (twitter)

Today's #LD4_2023 sessions are starting now. Here's the schedule: https://2023ld4conferenceonlinkedda.sched.com/ #LD4

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.)

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

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

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

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

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

Tomorrow I'll be speaking at the #LD4_2023 conference on #LinkedData about « #Wikidata & the sum of all video games: putting the "linked" in video game metadata » − join me at 16:30 CEST (14:30 UTC) https://2023ld4conferenceonlinkedda.sched.com/event/2176f0bade85b75195aab96c6777c884 https://www.youtube.com/watch?v=pvrxTh8xfdY

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

Doing double duty today and attending #DH2023 + #LD4_2023 - presenting two lightning talks later this afternoon: 1) with my @tibosl hat on, talking about our LIDO2RDF transformation pipeline & 2) some personal work on a Wikibase data model for artists' publishing (old PhD days project).

Schedule for LD4 is here: https://2023ld4conferenceonlinkedda.sched.com/ - talks kicking off around 4pm CEST.

Doing double duty today and attending #DH2023 + #LD4_2023 - presenting two lightning talks later this afternoon: 1) with my @tibosl hat on, talking about our LIDO2RDF transformation pipeline & 2) some personal work on a Wikibase data model for artists' publishing (old PhD days project).

Schedule for LD4 is here: https://2023ld4conferenceonlinkedda.sched.com/ - talks kicking off around 4pm CEST.

Kate Topham leads off a series of #LD4_2023 short talks over the next hour on linked data, talking about work she did with the Schoenberg database of manuscripts at the Penn Libraries. Here's more about that resource: https://sdbm.library.upenn.edu/

Kate Topham leads off a series of #LD4_2023 short talks over the next hour on linked data, talking about work she did with the Schoenberg database of manuscripts at the Penn Libraries. Here's more about that resource: https://sdbm.library.upenn.edu/

A comment I made at #LD4_2023 on seeing different entities for PJ Harvey-as-person and -as-band: It's vitally important that discovery systems make it easy to closely associate them (both with cross-references and with search indexing, as well as results clustering). Different people will always split and lump things differently (I've seen this with serial titles and their changes, for instance), so you've got to be able to accommodate different people's concepts of what lumps and splits matter.

Dropping in on the Marva #BIBFRAME demo at #LD4_2023 . Enjoying the presenter walk-through; also getting a bit concerned that BIBFRAME seems still too tightly coupled to RDF than is probably good for general cataloging. (For instance, it looks from the example that author ordering has no built-in support, like it has in VIVO or Wikidata, and as a result the way creators and contributors are recorded for works seems to be clunkier than it should be)

#LD4_2023 keynote postponed due to unforeseen issues. Organizers hope the talk or a recording of it will be available later on. Later sessions still going on today include a hands-on session with the MARVA BIBFRAME editor, a presenter from the WIkimedia foundation reaching out to library linked data projects, and a one-hour series of short talks from library linked data practitioners. Schedule here: https://sites.google.com/stanford.edu/2023-ld4-conference/schedule #LD4

Website of Sarah T. Roberts, who'll be starting the #LD4_2023 keynote shortly. Includes links to a number of her writings and videos: https://drsarahtroberts.com/ #LD4

You can also watch the #LD4_2023 videos on Youtube. Here's their channel: https://www.youtube.com/playlist?list=PLx2ZluWEZtIAwEyTn6ci7gZIGmJKPezV0. The opening keynote goes live shortly. #LD4

You can also watch the #LD4_2023 videos on Youtube. Here's their channel: https://www.youtube.com/playlist?list=PLx2ZluWEZtIAwEyTn6ci7gZIGmJKPezV0. The opening keynote goes live shortly. #LD4

(Note that the main discussion channel within the #LD4 #LD4_2023 conference is on Slack; see the https://sites.google.com/stanford.edu/ld4-community-site/home for information on how to join. Questions for presenters, etc., should be asked there.)

The #LD4_2023 virtual conference on linked data in libraries is now starting! Sarah T. Roberts delivers the opening keynote at 10am eastern US time, and there are currently about 250 people signed up to hear it. Here's the full schedule: https://2023ld4conferenceonlinkedda.sched.com/ According to the main site, registration is still open (and free): https://sites.google.com/stanford.edu/2023-ld4-conference/.

(Reposted to use the official hashtag announced at the opening session. I may also use #LD4 )

The #LD4_2023 virtual conference on linked data in libraries is now starting! Sarah T. Roberts delivers the opening keynote at 10am eastern US time, and there are currently about 250 people signed up to hear it. Here's the full schedule: https://2023ld4conferenceonlinkedda.sched.com/ According to the main site, registration is still open (and free): https://sites.google.com/stanford.edu/2023-ld4-conference/.

(Reposted to use the official hashtag announced at the opening session. I may also use #LD4 )