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#knowledgegraphs — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #knowledgegraphs, aggregated by home.social.

  1. Good morning Dubrovnik! ESWC 2026 - the 23rd European Semantic Web Conference is starting today. Looking forward to visionary and inspiring keynotes, presentations, and posters, esp. addressing the question on how #SemanticWeb technologies will survive (or even prevail...) the current 3rd wave of #AI

    2026.eswc-conferences.org/

    #SemanticWeb #knowledgegraphs #ontologies #shacl #AI #llms #generativeAI #reliableAI #explainableAI #ESWC2026 #dubrovnik

  2. Dogfooding was one of RDF’s biggest challenges prior to the arrival of LLMs as powerful general-purpose clients. Why? Because transforming and presenting RDF specifications in RDF form was difficult. Today, that problem is gone. Here’s an example of the new RDF 1.2 primer, deployed as a knowledge graph that uses Linked Data principles to manifest a Semantic Web.

    #RDF #SemanticWeb #LinkedData #Explainer #KnowledgeGraphs

  3. Dogfooding was one of RDF’s biggest challenges prior to the arrival of LLMs as powerful general-purpose clients. Why? Because transforming and presenting RDF specifications in RDF form was difficult. Today, that problem is gone. Here’s an example of the new RDF 1.2 primer, deployed as a knowledge graph that uses Linked Data principles to manifest a Semantic Web.

    #RDF #SemanticWeb #LinkedData #Explainer #KnowledgeGraphs

  4. Dogfooding was one of RDF’s biggest challenges prior to the arrival of LLMs as powerful general-purpose clients. Why? Because transforming and presenting RDF specifications in RDF form was difficult. Today, that problem is gone. Here’s an example of the new RDF 1.2 primer, deployed as a knowledge graph that uses Linked Data principles to manifest a Semantic Web.

    #RDF #SemanticWeb #LinkedData #Explainer #KnowledgeGraphs

  5. Dogfooding was one of RDF’s biggest challenges prior to the arrival of LLMs as powerful general-purpose clients. Why? Because transforming and presenting RDF specifications in RDF form was difficult. Today, that problem is gone. Here’s an example of the new RDF 1.2 primer, deployed as a knowledge graph that uses Linked Data principles to manifest a Semantic Web.

    #RDF #SemanticWeb #LinkedData #Explainer #KnowledgeGraphs

  6. Dogfooding was one of RDF’s biggest challenges prior to the arrival of LLMs as powerful general-purpose clients. Why? Because transforming and presenting RDF specifications in RDF form was difficult. Today, that problem is gone. Here’s an example of the new RDF 1.2 primer, deployed as a knowledge graph that uses Linked Data principles to manifest a Semantic Web.

    #RDF #SemanticWeb #LinkedData #Explainer #KnowledgeGraphs

  7. On my way to #eswc2026 to Dubrovnik. Looking forward to meet the #semanticweb research family again! ESWC has never been to Dubrovnik before, so let the adventure begin (on Sunday).

    @fizise @fiz_karlsruhe @tabea @sashabruns @epoz @nfdi4culture @eswc_conf #semdh2026 #KnowledgeGraphs #academiclife

  8. От augmentation к symbiosis: новая парадигма программирования

    Использование средств генеративного искусственного интеллекта (ИИ) в разработке программного обеспечения радикально ускоряет создание кода...

    #искусственныйинтеллект #программирование #код #разработка #SemanticCore #KnowledgeGraphs #нейросимволическиеагенты #DOLPHIN #SYNVER #Imandra #Lean4 #symbiosis #NeuroSymbolicAI #LOGOSκ #NIGC #FAIRCARE #AUniversum #SemanticDB #Python #Λоператоры #Logos #код

    Источник: dstglobal.ru/club/1179-ot-augm

  9. KGLens turns a knowledge graph into test questions and uses Thompson sampling to zero in on a model's weakest facts.

    The interesting bit is the output shape: a per-relation map of where the model is and isn't reliable, against a graph matched to your deployment. Sampling trick should generalize to red-teaming, jailbreak coverage, capability probing too.

    benjaminhan.net/posts/20260430

    #LLMs #AI #Evaluation #Apple #KnowledgeGraphs #ACL

  10. LintedData is a linter for RDF and Ontologies for easy use in CI pipelines, we recently released. It checks for common violations of best practices in ontology engineering.
    GitLab: gitlab.com/dlr-dw/linteddata/
    Docker: hub.docker.com/r/dlrdw/lintedd

    Today I present LintedData at the Helmholtz Metadata Conference 2026 demo session.
    Abstract & Poster: elib.dlr.de/223803/

    @helmholtz_hmc

  11. LintedData is a linter for RDF and Ontologies for easy use in CI pipelines, we recently released. It checks for common violations of best practices in ontology engineering.
    GitLab: gitlab.com/dlr-dw/linteddata/
    Docker: hub.docker.com/r/dlrdw/lintedd

    Today I present LintedData at the Helmholtz Metadata Conference 2026 demo session.
    Abstract & Poster: elib.dlr.de/223803/

    #RDF #Ontologies #KnowledgeGraphs #DataQuality #OntologyQuality #OntologyEngineering #HMC2026 @helmholtz_hmc

  12. LintedData is a linter for RDF and Ontologies for easy use in CI pipelines, we recently released. It checks for common violations of best practices in ontology engineering.
    GitLab: gitlab.com/dlr-dw/linteddata/
    Docker: hub.docker.com/r/dlrdw/lintedd

    Today I present LintedData at the Helmholtz Metadata Conference 2026 demo session.
    Abstract & Poster: elib.dlr.de/223803/

    #RDF #Ontologies #KnowledgeGraphs #DataQuality #OntologyQuality #OntologyEngineering #HMC2026 @helmholtz_hmc

  13. LintedData is a linter for RDF and Ontologies for easy use in CI pipelines, we recently released. It checks for common violations of best practices in ontology engineering.
    GitLab: gitlab.com/dlr-dw/linteddata/
    Docker: hub.docker.com/r/dlrdw/lintedd

    Today I present LintedData at the Helmholtz Metadata Conference 2026 demo session.
    Abstract & Poster: elib.dlr.de/223803/

    #RDF #Ontologies #KnowledgeGraphs #DataQuality #OntologyQuality #OntologyEngineering #HMC2026 @helmholtz_hmc

  14. LintedData is a linter for RDF and Ontologies for easy use in CI pipelines, we recently released. It checks for common violations of best practices in ontology engineering.
    GitLab: gitlab.com/dlr-dw/linteddata/
    Docker: hub.docker.com/r/dlrdw/lintedd

    Today I present LintedData at the Helmholtz Metadata Conference 2026 demo session.
    Abstract & Poster: elib.dlr.de/223803/

    #RDF #Ontologies #KnowledgeGraphs #DataQuality #OntologyQuality #OntologyEngineering #HMC2026 @helmholtz_hmc

  15. 🎓 Knowledge-driven AI is back — Summer Semester 2026.
    12 lectures. One central question: What does it actually mean for a machine to understand?
    We'll journey from Aristotle's categories to knowledge graphs, from the first perceptron to today's foundation models — exploring how symbolic reasoning and modern machine learning meet, clash, and complement each other.

    #KDAI2026 #AI #MachineLearning #KnowledgeGraphs #SemanticWeb @fizise @KIT_Karlsruhe @fiz_karlsruhe #HigherEducation #AILiteracy

  16. RE: mastodon.social/@dccuchile/116

    It is a pity I am not in Chile to attend this talk. Not only because Ricardo's talks are always interesting, but because this is a question I have always wondered about and we have studied in our ICML 2025 paper:

    Cosimo Gregucci, Bo Xiong, Daniel Hernández, Lorenzo Loconte, Pasquale Minervini, Steffen Staab, Antonio Vergari:
    Is Complex Query Answering Really Complex?

    proceedings.mlr.press/v267/gre

    #MachineLearning #KnowledgeGraphs #SemanticWeb

  17. 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

    videolectures.net/videos/iswc2

  18. Why does N3 have greater inherent potential than Prolog for the open web?

    Because N3 is not just a rule language. It can express facts, rules, quoted graphs, scoped reasoning, and source-aware logic in the same model.

    We added a new Appendix C on exactly that:
    eyereasoner.github.io/eyeling/

    #N3 #Prolog #KnowledgeGraphs #SemanticWeb #Eyeling

  19. Why does N3 have greater inherent potential than Prolog for the open web?

    Because N3 is not just a rule language. It can express facts, rules, quoted graphs, scoped reasoning, and source-aware logic in the same model.

    We added a new Appendix C on exactly that:
    eyereasoner.github.io/eyeling/

  20. Why does N3 have greater inherent potential than Prolog for the open web?

    Because N3 is not just a rule language. It can express facts, rules, quoted graphs, scoped reasoning, and source-aware logic in the same model.

    We added a new Appendix C on exactly that:
    eyereasoner.github.io/eyeling/

    #N3 #Prolog #KnowledgeGraphs #SemanticWeb #Eyeling

  21. Why does N3 have greater inherent potential than Prolog for the open web?

    Because N3 is not just a rule language. It can express facts, rules, quoted graphs, scoped reasoning, and source-aware logic in the same model.

    We added a new Appendix C on exactly that:
    eyereasoner.github.io/eyeling/

    #N3 #Prolog #KnowledgeGraphs #SemanticWeb #Eyeling

  22. Why does N3 have greater inherent potential than Prolog for the open web?

    Because N3 is not just a rule language. It can express facts, rules, quoted graphs, scoped reasoning, and source-aware logic in the same model.

    We added a new Appendix C on exactly that:
    eyereasoner.github.io/eyeling/

    #N3 #Prolog #KnowledgeGraphs #SemanticWeb #Eyeling

  23. The Semantic Web project didn’t fail. It delivered—early.

    What it placed on the table remains unmatched as foundational infrastructure for solving critical problems. What was missing wasn’t vision, but timing.

    LLMs have now arrived. Which means a Semantic Web-driven evolution of the Web, as broadly used and understood, can finally deliver the critical infrastructure needed to solve real problems.

    #SemanticWeb #KnowledgeGraphs #LinkedData #AI #LLMs #ContextGraph

  24. Research Data needs to be connected! Torsten Schrade from the Academy of Sciences and Literature in Mainz is advocating federated #researchdata infrastructur es in his presentation "From Artefacts to Algorithms: Federated Infrastructures, Knowledge Representation and AI in the Humanities" at the DiTraRe Symposium 2025 yesterday at ZKM Karlsruhe.

    @nfdi4culture #ditrare #ditrare2025 #digitalisation #rdm #knowledgegraphs #AI #iconclass @tabea @jonatan @sashabruns @sourisnumerique @heikef

  25. Keynote by Roger H. French on Semantic Data Management and MDS-Onto for Synchrotron Science at the #SeMatS2025 workshop #ISWC2025 presenting a vast amount of Materials Data Science-related research. Amongst others, the Materials Data Science Ontology (MDS-Onto), which builds upon PMDco, CCO, and BFO.

    ontolearner.readthedocs.io/ben
    paper on MDS.Onto: nature.com/articles/s41597-025

    #materialsscience #mse #ontologies #AI #knowledgegraphs #linkeddata #japan #

  26. Last week, October sunshine in Freiburg at the anual #NFDIMatWerk planning & strategy meeting at Freiburg Innovation Center FRIZ. Usually, I don't complain about the food, but ... hey guys, there is room for improvement ;-)

    Overall outcome: The MSE KnowledgeGraph will be THE central hub for all NFDIMatWerk resources

    nfdi.fiz-karlsruhe.de/matwerk/

    #NFDIrocks @fiz_karlsruhe #materialsscience #friz #freiburg #rdm #ontologies #knowledgegraphs #digitalisation @enorouzi @joerg @fizise #mse

  27. Deadline extension for #SeMatS2025
    2nd Int. Workshop on Semantic Materials Science - Harnessing the Power of Semantic Web Technologies in Materials Science, co located at #ISWC2025
    New Deadline: Aug 9, 2025, AoE

    Please, spread the news and submit! :)

    sites.google.com/view/semats20

    #semanticweb #ontologies #bfo #materialsscience #mse #knowledgegraphs #AI @fiz_karlsruhe @fizise @KIT_Karlsruhe @HL @joerg #NFDIMatWerk #PMD #materialdigital #stahldigital

  28. Last week at the MSE Research Data Forum 2025 in Siegburg with our colleagues @lysander07 @joerg @heikef and Hossein Nasrabadi, discussing NFDIcore ontology, MatWerk Ontology, Matwerk Knowledge Graph and PMDcore ontology.

    #materialsscience #mse #nfdimatwerk #nfdirocks #knowledgegraphs #ontologies #bfo @enorouzi @fiz_karlsruhe

  29. Yesterday, I've attended the MSE Research Data Forum 2025 organised by #NFDIMatWerk. Aside from the conference presentations, our little ontologies group was meeting and discussing future work on ontologies in NFDI-MatWerk, including NFDIcore, MatWerk Application Ontologies, and PMDcore.

    nfdi-matwerk.de/nfdi/2025/

    #NFDIrocks @joerg @fizise @fiz_karlsruhe #mse #materialsscience #ontologies #semanticweb #knowledgegraphs

  30. Back in the lecture hall again after two exciting weeks of #ESWC2025 and #ISWS2025. This morning, we introduced our students to RDF, RDFS, RDF Inferencing, and RDF Reification.

    #ise2025 #semanticweb #semweb #knowledgegraphs #rdf #reasoning #reification #lecture @fiz_karlsruhe @fizise @KIT_Karlsruhe @sourisnumerique @tabea @enorouzi

  31. Back in the lecture hall again after two exciting weeks of #ESWC2025 and #ISWS2025. This morning, we introduced our students to RDF, RDFS, RDF Inferencing, and RDF Reification.

    #ise2025 #semanticweb #semweb #knowledgegraphs #rdf #reasoning #reification #lecture @fiz_karlsruhe @fizise @KIT_Karlsruhe @sourisnumerique @tabea @enorouzi

  32. Back in the lecture hall again after two exciting weeks of #ESWC2025 and #ISWS2025. This morning, we introduced our students to RDF, RDFS, RDF Inferencing, and RDF Reification.

    #ise2025 #semanticweb #semweb #knowledgegraphs #rdf #reasoning #reification #lecture @fiz_karlsruhe @fizise @KIT_Karlsruhe @sourisnumerique @tabea @enorouzi

  33. Back in the lecture hall again after two exciting weeks of #ESWC2025 and #ISWS2025. This morning, we introduced our students to RDF, RDFS, RDF Inferencing, and RDF Reification.

    #ise2025 #semanticweb #semweb #knowledgegraphs #rdf #reasoning #reification #lecture @fiz_karlsruhe @fizise @KIT_Karlsruhe @sourisnumerique @tabea @enorouzi

  34. Back in the lecture hall again after two exciting weeks of #ESWC2025 and #ISWS2025. This morning, we introduced our students to RDF, RDFS, RDF Inferencing, and RDF Reification.

    #ise2025 #semanticweb #semweb #knowledgegraphs #rdf #reasoning #reification #lecture @fiz_karlsruhe @fizise @KIT_Karlsruhe @sourisnumerique @tabea @enorouzi

  35. We still have free slots in our KIT summer semester 2025 seminar on "Large Language Model-Enhanced Representation Learning for Knowledge Graphs" supervised by @GenAsefa, Mary Ann Tan and @lysander07

    portal.wiwi.kit.edu/ys/8600

    #teaching #knowledgegraphs #llms #generativeai #representationlearning #seminar @fiz_karlsruhe @KIT_Karlsruhe #AI

  36. Kenne an Angeboten / Experimenten von Bibliotheken oder Kommerz mit Schwerpuntk auf Literaturrecherche bisher diese ~Chatbots

    * ORKG Ask (@tibhannover ; via mastodon.social/@real_lilu/112 )
    * VÖBB-Chatbot (via openbiblio.social/@rstockm/112

    Aus dem kommerziellen Bereich kam Werbung von AboutSomethink.org, die gerne Marc-Daten zum Füttern hätten.

    Gibt es noch erwähnenswerte Projekte?

    #llm #knowledgeGraphs #sematicSearch #chatbot #bibliotheken #TIB #VÖBB #chatGPT

  37. Florian Thiery @fthierygeo gives a talk on "Research Squirrel Engineers: How an independent RSE-driven network may help the NFDI" at #deRSE25 at @KIT_Karlsruhe which also tackles @NFDI #Base4NFDI - Basic Services for the NFDI topics on Research Software Engineering within the #RDM and #CAA_DE community of computational archaeology.

    More informations here: zenodo.org/records/14914288.

    #NFDIrocks #RSE #LOD #KG #LinkedOpenData #KnowledgeGraphs #NFDI