We renamed the Information Service Engineering lecture into "Knowledge-driven AI", simply because what we teach is knowledge-driven AI :) which pertains knowledge representation, natural language processing, machine learning, and reasoning. We adapted the focus emphasizing the machine learning part by going deeper into deep learning, transformer architectures, and large language models.
#KDAI2026 #lecture @fizise @fiz_karlsruhe #AI #knowledgerepresentation #knowledgegraphs #machinelearning #nlp
The recording of my @iswc_conf keynote is available online:
Wikipedia and the Semantic Web -- 20 years of co-development, and the future
Drawing on the roots of @wikipedia and the Semantic Web, how they influenced each other during the last two decades, leading to
@wikidata and peeking forward to @wikifunctions and Abstract Wikipedia.
#semanticWeb #abstractWikipedia #knowledge #knowledgeGraphs #knowledgerepresentation #wikipedia #wikidata #wikifunctions
https://videolectures.net/videos/iswc2025_nara_vrandecic_wikipedia_future
In 2005, the very first papers proposed integrating Semantic Web technologies in the nascent Wikipedia ecosystem. This wasnβt just a convergence; it ignited two decades of mutual inspiration and benefit. From this crucible, the work in semantic wikis drew inspiration. Semantic MediaWiki, particularly, which found global adoption at Google, Microsoft, NASA, and beyond. Wikipedia became the bedrock for pioneering knowledge graphs, including DBpedia, Freebase, and Yago. These pivotal experiences directly fueled the development of Knowledge Graph, a term that has since found ubiquitous adoption, and, critically, Wikidata, a project that has become an indispensable, living component of Wikipedia itself. With over half a million global contributors, Wikidata stands as the worldβs most-edited wiki, powering one of, if not the, most widely-used public SPARQL endpoint. Its software, Wikibase, has spawned a federation of knowledge graphs, serving diverse domains from museums to language preservation. Furthermore, Wikidataβs evolution into lexicographic data (inspired by ontologies such as OntoLex and Lemon) laid the groundwork for projects such as Wikifunctions and Abstract Wikipedia, a vision first unveiled right here at ISWC 2018 and now an official Wikimedia Foundation project. This takes us to the present and future: Abstract Wikipedia collaboratively confronts the inherent expressivity gap in knowledge graphs, while foundational role in training and the current use of language models can not be overstated. This creates a tantalising confluence of large language models and knowledge graphs, hinting at profound opportunities - and critical challenges -for Wikipedia, the Web, and beyond. As this rich history promises many more years of co-development and mutual inspiration, we will conclude with a forward-looking sketch of open research questions and exciting upcoming opportunities.
π PMD core ontology (PMDco) v3.0.0 Release
This release marks a major milestone for the #PMD working area Semantic Interoperability and reflects several years of joint conceptual work, implementation, discussion, and validation across projects and disciplines.
GitHub: https://github.com/materialdigital/core-ontology
PMDco 3.0.0: https://materialdigital.github.io/core-ontology/index-en.html#
Docs: https://materialdigital.github.io/core-ontology/docs/
#ontologies #materialsscience #materialdigital #AI #symbolicAI #knowledgerepresentation @fiz_karlsruhe @joerg @enorouzi @lysander07
#lispyGopherClimate Tuesday-evening-in-the-americas (0UTC Wed.) #archive #peertube
https://communitymedia.video/w/iXYav8oAJHD2SwdGgjPEgo
#climateCrisis #haiku from @kentpitman
@ramin_hal9001 on the kill-a-billion-people-using-the-climate-crisis #3e style big business conversations happening exposed by the Epstein stuff. w t h ! #doctorStrangelove
Safety from scraping - #i2pd #i2p
#commonLisp conditions #gopher
I joined https://ontologforum.com/ #knowledgeRepresentation
Chat in #lambdaMOO! @mdhughes @rat #technology
Mathematical induction is a proof technique used to establish properties of natural numbers. One shows that the property holds for 0 (the base case), and that if it holds for a number n, then it also holds for its successor n + 1 (the induction step).
The intuition is akin to a row of dominoes: if the first one falls, and each falling domino causes the next to fall, then all of them will fall.
#MathematicalInduction #Logic #Mathematics #KnowledgeRepresentation
Hello Mastodon! π
This is bLogic.ink, a project dedicated to providing accessible content about logic, formal reasoning, and knowledge representation. Expect concise and intuitive examples, visualizations, and occasional in-depth explorations of KR, semantics, and AI.
Follow if you enjoy: logic, proofs, KR, modal/epistemic reasoning, semantics, and similar topics.
New posts soon!
#introduction #logic #KnowledgeRepresentation #AI
Harald Sack
Denny VrandeΔiΔ
screwlisp
Harald Klinke
Harald Klinke
FIZ KDAI Research Group
bLogic.ink