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#NeuroSymbolicAI

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Our 3rd keynoter will be Enrico Motta from the Knowledge Media Institute of UK’s Open University. He pioneered with hybrid computational architectures integrating #ML with knowledge representation, being applied in application domains as e.g. news & scholarly analytics, and cognitive robotics.

Apply here: 2025.semanticwebschool.org/
Deadline: March 15, 2025

#knowledgegraph #AI #llm #generativeAI #responsibleAI @lysander07 @fiz_karlsruhe #semanticweb #lod #semanticweb #neurosymbolicai #robotics

TGDK is launching a Special Issue for Use-Case articles. They are interested in submissions describing use-cases (applications, events, products, services, etc.) that put research on Graph Data & Knowledge into practice. If you work on such initiatives, consider telling the community about them by submitting to the Special Issue!
Deadline is March 31, 2025.

drops.dagstuhl.de/entities/jou

@tgdkjournal #knowledgegraphs #semanticweb #ontologies #AI #neurosymbolicAI

drops.dagstuhl.deTGDK

Last week, Sven Hertling from @fizise team presented our paper "Towards Large Language Models Interacting with Knowledge Graphs Via Function Calling" at the KBL-LM Workshop at #ISWC2024

presentation at Zenodo: doi.org/10.5281/zenodo.1418492
paper: lm-kbc.github.io/workshop2024/
GitHub: github.com/sven-h/LLMs4IE

#llms #generativeAI #AI #neurosymbolicAI #kbclm2024 #semanticweb #knowledgegraphs @fiz_karlsruhe @altbot

Our team member Sven Hertling is presenting "Towards Large Language Models Interacting with Knowledge Graphs Via Function Calling" at the Knowledge Base Construction from Pre-Trained Language Models Workshop at #ISWC2024

paper: lm-kbc.github.io/workshop2024/
KBC-LM2024 website: lm-kbc.github.io/workshop2024/

#llms #KBC #knowledgegraphs #semanticweb #symbolicAI #neurosymbolicAI @fiz_karlsruhe @unimannheim #iswc

Knowledge Graphs are here to stay! According to the latest Gardner hype cycle, #knowledgegraphs have entered the "slope of enlightenment". Moreover, Neurosymbolic AI as fusion of symbolic Ai, e.g. knowledge graphs and neural networks, e.g. LLMs, is on the rise!

via Svetlana Sicular, Research VP, AI at Gartner @linkedIn
linkedin.com/feed/update/urn:l

#neurosymbolicAI #llms #gartner #hypecycle2024 #AI #generativeAI @fizise

Frank van Harmelen is presenting his keynote "Neuro-symbolic ≠ Neuro-semantic" claiming that none of the commonly used embeddings are capturing any semantics. "It's just wishful mnemonics." Obviously, we are doing something wrong in neuro-symbolic AI... ;-) "Semantics is predictable inference."
#GeNeSy2024 workshop at #eswc2024

GeNeSy 2024 website: sites.google.com/view/genesy20
Slides (from a similar talk): de.slideshare.net/slideshow/th

#neurosymbolicAI #AI #semanticweb #semantics @eswc_conf

Our paper "PyGraft: Configurable Generation of Synthetic #Schemas and #KnowledgeGraphs at Your Fingertips" has been accepted in @eswc_conf #ESWC2024!

Paper: arxiv.org/pdf/2309.03685.pdf
Code: github.com/nicolas-hbt/pygraft

PyGraft is a configurable #Python tool to generate both synthetic #schemas and #knowledgeGraphs easily, supporting several RDFS and OWL constructs. These #datasets are useful for, e.g., #neurosymbolicAI, #linkPrediction, #nodeClassification, #nodeClustering, #ontology repairing

📢 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

neurosymbolic-ai-journal.com/c

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

Continued thread

PyGraft will help you generate new and tailored benchmark KG #datasets useful in various fields including but not limited to #neurosymbolicAI, #linkPrediction, #nodeClassification, #nodeClustering, #ontology repairing, pattern mining, reasoning, scalability studies, etc.

Feel free to download, star, fork, share and tell us about any usage you foresee! We welcome all contributions or ideas to improve PyGraft! Looking forward to feedback from #semanticWeb #machineLearning and other communities!