#knowledgeengineering — Public Fediverse posts

Where content, #knowledgeManagement, and #AI converge, you'll find Michael Iantosca.

As many in the AI world choose probabilistic models like LLMs, Michael takes a deterministic approach to #contentManagement and #knowledgeEngineering, using #ontologies and #knowledgeGraphs to ground content in facts.

This approach embodies his insight that content and the models that describe it are valuable enterprise IP assets.

https://knowledgegraphinsights.com/michael-iantosca/

#ESWC2024 closing ceremony led by general chair @albertmeronyo with lots of thanks, acknowledgements, and of course....awards ;-)

#semanticweb #knowledgegraphs #llms #generativeAI #knowledgeengineering #ontologies

Reflections on the Special Track on LLMs for Knowledge Engineering at #ESWC2024.
From my point of view a very valuable contribution to the conference, exchanging our experiences and research efforts as long as there are no established methodologies and evaluations in this field.

#llms #knowledgeengineering #knowledgegraphs #ontologydesign #ontologicalengineering ontologies

Reflections on the Special Track on LLMs for Knowledge Engineering at #ESWC2024.
From my point of view a very valuable contribution to the conference, exchanging our experiences and research efforts as long as there are no established methodologies and evaluations in this field.

#llms #knowledgeengineering #knowledgegraphs #ontologydesign #ontologicalengineering ontologies

Reflections on the Special Track on LLMs for Knowledge Engineering at #ESWC2024.
From my point of view a very valuable contribution to the conference, exchanging our experiences and research efforts as long as there are no established methodologies and evaluations in this field.

#llms #knowledgeengineering #knowledgegraphs #ontologydesign #ontologicalengineering ontologies

Reflections on the Special Track on LLMs for Knowledge Engineering at #ESWC2024.
From my point of view a very valuable contribution to the conference, exchanging our experiences and research efforts as long as there are no established methodologies and evaluations in this field.

#llms #knowledgeengineering #knowledgegraphs #ontologydesign #ontologicalengineering ontologies

Reflections on the Special Track on LLMs for Knowledge Engineering at #ESWC2024.
From my point of view a very valuable contribution to the conference, exchanging our experiences and research efforts as long as there are no established methodologies and evaluations in this field.

#llms #knowledgeengineering #knowledgegraphs #ontologydesign #ontologicalengineering ontologies

Knowledge Engineering is transforming. This is what we're going to need.
...Conclusion of Elena Simperl's keynote at #ESWC2024

#knowledgeengineering #ontologies #knowledgegraphs #semanticweb #llms

FIrst #ESWC2024 Keynote by Elena Simperl on "Knowledge Engineering from people to machines and back" dives into the history of knowledge engineering and reminds us about the many different approaches ranging from people, over more people, gamification, crowdsourcing, automation, etc.

#knowledgeengineering #semanticweb #ontologies #ontologicalengineering #knowledgegraphs

Tolle Neuigkeiten: Für seine herausragenden Beiträge im Bereich #KnowledgeEngineering wurde #TIB-Direktor und @[email protected] @soeren_auer auf Platz 33 als „#AI 2000 Most Influential Scholar Honorable Mention“ zwischen 2014 und 2023 ausgezeichnet und zählt damit zu den einflussreichsten #KI-Forscher:innen. Herzlichen Glückwunsch! 🎉

Mehr dazu: https://www.tib.eu/de/die-tib/neuigkeiten-und-termine/aktuelles/detail/prof-soeren-auer-zaehlt-zu-den-einflussreichsten-ki-forschern

Information Service Engineering is the denomination of our research group at @fiz_karlsruhe as well as of my chair at @KIT_Karlsruhe
...and this is how #Midjourney imagines how "Information Service Engineering" might look like ;-)

Our research focus lies on on #knowledgegraphs
#informationextraction
#knowledgeengineering
#ontologies #researchdatamanagement
#exploratorysearch #semanticsearch
#nlp #aiart #generativeai @sourisnumerique @tabea @sashabruns @MahsaVafaie @enorouzi

📢 Check out the call for papers for the special issue of the new Neurosymbolic AI Journal on "Knowledge Graphs and Neurosymbolic AI".
📌 Deadline May 31, 2024.
📗Contributions may include full papers, dataset descriptions, survey papers, application reports and reports on tools and systems.
Editors: Marta Sabou, Raghava Mutharaju, Frank van Harmelen

https://neurosymbolic-ai-journal.com/content/call-papers-special-issue-knowledge-graphs-and-neurosymbolic-ai

#neurosymbolicAI #AI #knowledgeengineering #knowledgegraphs #semanticweb #machinelearning #humancentric
via #linkedIn

#ExplainableAI for #LLM systems whether chatbots or backend components is very important for trustworthiness and debugging.

One of the most effective ways to do it is to make the chatbot refer to sources of facts. Tag every RAG document partial with an anchor, and tell the chatbot refer to them. Then you can show in a final presentation a link to the document part used.

In a document index you similarly want to include metadata for partials, so that a user can click "show the whole document" and navigate the information if they want to see where the content came from.

It's all very well explainable but requires a bit of work in #KnowledgeEngineering and #LinkedData.

With the release of my restored versions of #FMCS and #Babylon I plan on posting more about #SymbolicAI programming techniques and algorithms, the #KnowledgeEngineering approach to #MachineLearning, and why #DemonicMetaprogramming (as in, #Metaprogramming under the semantics of demonic nondeterminism) is so important for them

Whenever applicable, I will include side-by-side comparisons of #Babylon and #KnowledgeWorks as well

#AI #CommonLisp #Lisp #OpenSource

With the release of my restored versions of #FMCS and #Babylon I plan on posting more about #SymbolicAI programming techniques and algorithms, the #KnowledgeEngineering approach to #MachineLearning, and why #DemonicMetaprogramming (as in, #Metaprogramming under the semantics of demonic nondeterminism) is so important for them

Whenever applicable, I will include side-by-side comparisons of #Babylon and #KnowledgeWorks as well

#AI #CommonLisp #Lisp #OpenSource

With the release of my restored versions of #FMCS and #Babylon I plan on posting more about #SymbolicAI programming techniques and algorithms, the #KnowledgeEngineering approach to #MachineLearning, and why #DemonicMetaprogramming (as in, #Metaprogramming under the semantics of demonic nondeterminism) is so important for them

Whenever applicable, I will include side-by-side comparisons of #Babylon and #KnowledgeWorks as well

#AI #CommonLisp #Lisp #OpenSource

With the release of my restored versions of #FMCS and #Babylon I plan on posting more about #SymbolicAI programming techniques and algorithms, the #KnowledgeEngineering approach to #MachineLearning, and why #DemonicMetaprogramming (as in, #Metaprogramming under the semantics of demonic nondeterminism) is so important for them

Whenever applicable, I will include side-by-side comparisons of #Babylon and #KnowledgeWorks as well

#AI #CommonLisp #Lisp #OpenSource

I’ve restored Jürgen Walther’s #Babylon #AIWorkbench system for #CommonLisp from the CMU AI Repository, released under the #MITLicense and available from #Ultralisp or directly from the #GitHub repo linked below

Babylon provides a comprehensive set of tools for #SymbolicAI programming and metaprogramming, such as frames, productions, propositional and predicate logic, constraint satisfaction, expert systems, demonic metaprogramming via #FMCS, to build #KnowledgeEngineering based systems

It’s basically an #OpenSource version of #KnowledgeWorks from #LispWorksEnterprise (although I’ve made no attempt to optimize or benchmark performance of Babylon against KW at this stage)

Naturally I plan to extend Babylon with all the tools necessary for #ConnectionistAI programming as well

#Lisp #AI

https://github.com/thephoeron/babylon/

I’ve restored Jürgen Walther’s #Babylon #AIWorkbench system for #CommonLisp from the CMU AI Repository, released under the #MITLicense and available from #Ultralisp or directly from the #GitHub repo linked below

Babylon provides a comprehensive set of tools for #SymbolicAI programming and metaprogramming, such as frames, productions, propositional and predicate logic, constraint satisfaction, expert systems, demonic metaprogramming via #FMCS, to build #KnowledgeEngineering based systems

It’s basically an #OpenSource version of #KnowledgeWorks from #LispWorksEnterprise (although I’ve made no attempt to optimize or benchmark performance of Babylon against KW at this stage)

Naturally I plan to extend Babylon with all the tools necessary for #ConnectionistAI programming as well

#Lisp #AI

https://github.com/thephoeron/babylon/

I’ve restored Jürgen Walther’s #Babylon #AIWorkbench system for #CommonLisp from the CMU AI Repository, released under the #MITLicense and available from #Ultralisp or directly from the #GitHub repo linked below

Babylon provides a comprehensive set of tools for #SymbolicAI programming and metaprogramming, such as frames, productions, propositional and predicate logic, constraint satisfaction, expert systems, demonic metaprogramming via #FMCS, to build #KnowledgeEngineering based systems

It’s basically an #OpenSource version of #KnowledgeWorks from #LispWorksEnterprise (although I’ve made no attempt to optimize or benchmark performance of Babylon against KW at this stage)

Naturally I plan to extend Babylon with all the tools necessary for #ConnectionistAI programming as well

#Lisp #AI

https://github.com/thephoeron/babylon/

I’ve restored Jürgen Walther’s #Babylon #AIWorkbench system for #CommonLisp from the CMU AI Repository, released under the #MITLicense and available from #Ultralisp or directly from the #GitHub repo linked below

Babylon provides a comprehensive set of tools for #SymbolicAI programming and metaprogramming, such as frames, productions, propositional and predicate logic, constraint satisfaction, expert systems, demonic metaprogramming via #FMCS, to build #KnowledgeEngineering based systems

It’s basically an #OpenSource version of #KnowledgeWorks from #LispWorksEnterprise (although I’ve made no attempt to optimize or benchmark performance of Babylon against KW at this stage)

Naturally I plan to extend Babylon with all the tools necessary for #ConnectionistAI programming as well

#Lisp #AI

https://github.com/thephoeron/babylon/

I’ve restored Jürgen Walther’s #Babylon #AIWorkbench system for #CommonLisp from the CMU AI Repository, released under the #MITLicense and available from #Ultralisp or directly from the #GitHub repo linked below

Babylon provides a comprehensive set of tools for #SymbolicAI programming and metaprogramming, such as frames, productions, propositional and predicate logic, constraint satisfaction, expert systems, demonic metaprogramming via #FMCS, to build #KnowledgeEngineering based systems

It’s basically an #OpenSource version of #KnowledgeWorks from #LispWorksEnterprise (although I’ve made no attempt to optimize or benchmark performance of Babylon against KW at this stage)

Naturally I plan to extend Babylon with all the tools necessary for #ConnectionistAI programming as well

#Lisp #AI

https://github.com/thephoeron/babylon/

AMiner sent me congratulations that I'm the 2nd "most influential scholar" in #KnowledgeEngineering 2013 - 2022. This seems be based on citation metrics for certain venues (not sure how representative this is). #knowledge #AI

date: 2023-01-24 11:38:44
by: Department of Computer Science, Aalborg University

We are looking for PhD students in #DataEngineering, #KnowledgeEngineering, #GraphDataManagement, and #MachineLearning. Deadline February 10, 2023!
Please reach out to @HoseKatja and @tdyhren if you have any questions 👉https://t.co/cir4cIyVYf

🐦🔗: https://twitter.com/twitter/statuses/1617849377242112000
#PhdPosition

date: 2023-01-20 23:18:40
by: Katja Hose

We are looking for PhD students in #DataEngineering, #KnowledgeEngineering, #GraphDataManagement, and #MachineLearning.
Deadline February 10, 2023!
Please reach out if you have any questions!

https://www.stillinger.aau.dk/vis-stilling/?vacancy=1203788

#PhDposition #DataIntegration #KnowledgeGraphs

🐦🔗: https://twitter.com/twitter/statuses/1616575969162104832
#PhdPosition

We are looking for PhD students in #DataEngineering, #KnowledgeEngineering, #GraphDataManagement, and #MachineLearning.

Deadline February 10, 2023!

Please reach out if you have any questions!

https://www.stillinger.aau.dk/vis-stilling/?vacancy=1203788

#PhDposition #DataIntegration #KnowledgeGraphs

Insightful and actionable slides on Wikidata and knowledge engineering.

#wikidata #knowledgeengineering #kg #KnowledgeGraphs

https://www.slideshare.net/elenasimperl/what-wikidata-teaches-us-about-knowledge-engineering-255169162