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#semanticweb

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Gibt/gab es in Deutschland in letzter Zeit eine Konferenz oder Unkonferenz rund um #LinkedData #RDF #SemanticWeb?

Wenn ja: Bitte antworten und boosten.

Wenn nicht oder nicht bekannt: Bitte abstimmen und boosten.

Weder noch: Bitte boosten ;)!

Ein Barcamp rund um diese Themen…

Every ISWS student is asked to provide a poster illustrating her/his research. We are organising poster sessions on two days so that students can get valuable feedback (a) from all tutors as well as (b) from their peers. Tutors will discuss all posters and select candidates for "Best Poster" awards ;-)

Since the #semanticWeb was introduced almost 25 years ago, many have dismissed it as a failure.

Charles Ivie shows that the #RDF standard and the #knowledgeRepresentation technology built on it have actually been quite successful.

More than half of the world's web pages now share semantic annotations, and the widespread adoption of knowledge graphs in enterprises and media companies is only growing as #enterpriseAI architectures mature.

knowledgegraphinsights.com/cha

Given that the biggest obstacle to the adoption of microformats is the lack of programs that actually implement them, I have been toying with the idea of writing some useful programs that work with all the information we put onto our websites.

It's frustrating that we're at a point where the bottleneck of the Semantic Web ideal is not actually a low amount of structured information, but the lack of any program to do anything interesting whatsoever with it!

Who cares if we all use the HTML5 tag on our sites, if there is no browser that actually provides a "contact webmaster" button in the sidebar?

Who cares if we all mark up our cooking recipes as perfectly detailed machine readable h-recipe entries, if there is zero cooking apps or whatever actually capable of using any of the data we provide?

Who cares if we all use h-cards and h-feeds and whatnot if there is no feed reader that can actually notify us when our friends posted a new blog entry?

Today the kickoff meeting of our project course "Telling Data Stories with Semantic Technologies and Generative AI" in collaboration with Academy of Sciences & Literature, Mainz, took place, introducing the general topic and our dedicated course software & research data infrastructure. Stay tuned for news & updates ;-)

@lysander07 @tabea @MahsaVafaie @epoz @fiz_karlsruhe @KIT_Karlsruhe @nfdi4culture #NFDIrocks #researchdata #semweb #semanticweb #knowledgegraphs #AI #generativeAI #llms #SPARQL

EU institutions are probably the biggest (if not only) ongoing believers on #semanticweb and related #linkeddata technologies such as OWL ontologies etc.

The logic behind the use of such tools is as impeccable as ever (quote: enables systems and services to exchange and interpret data meaningfully) but history (rather, bigtech centralization) decided otherwise.

Whether the push for a #eurostack will bring those ideas back into the mainstream remains to be seen.

interoperable-europe.ec.europa

Interoperable Europe PortalSemantics

The wait is over! #76: Shiny Objects that People Like to Chase is out!

@kito99, @dhinojosa, and Ian start out the new year with #WebAssembly, #SemanticWeb, and #AI guru @bsletten. They talk about #WebAssembly, #LLMs, edge computing, and open source hardware. The crew also discusses how theory of mind relates to #AGI#DeepSeek, #OpenWeb, #Fediverse, #ActivityPub, Interplanetary File System (#ifs), and more. pubhouse.net/podcast/title-shi

I wonder how #hashtags would have been developed differently if they had been invented and popularised by people speaking a #language with strongly marked cases.

If I post 'Sauce mit Pilzen' (German for 'sauce with mushrooms'), and I would like to tag the mushrooms, I can't just go '#Pilzen', because '#Pilzen' is a different hashtag from '#Pilze'. Let alone #Pilzes and #Pilz.

Would we tag things with #SemanticWeb URIs?
#hashtag #tech #compling #computationallinguistics #l10n #i18n #linguistics

Here's what I suspect why GenAI is hyped like this.
IT giants gathered coders like collectables. The best coders got involved in actual projects while the rest just got something meaningless to fiddle around. They did so to guarantee their oligopoly on labor.
Over time, especially after inflation raised, this behaviour became too expensive. At some point, employers (who invested in OpenAI) finally snapped, ordered the publication of LLMs and levered the hype among surprised lays to release that superfluous coder stock.

Concerning AI, we have been swung to "peak of inflated expectations". In 2-5 years generative AI will reach "plateau of productivity".

edit: corrected time till productivity