... cont'd

* KG often equipped with ontological schema (including rules, constraints, ontologies) ensuring quality, enabling easier knowledge access, supporting reasoning, etc.
* In this part, we introduce topics that LLMs are applied to learn ontological schemas & to manage ontologies
* OntoGPT: https://monarch-initiative.github.io/ontogpt

#OntoGPT #OntoChatGPT #LLM #LargeLanguageModels #GPT #ChatGPT #GPT3 #GPT4 #KnowledgeGraphs #epistimology #ImplicitKnowledge #ExplicitKnowledge #ParametricKnowledge #ontology

OntoGPT

[megathread] LLM & knowledge Graphs

Large Language Models & Knowledge Graphs: Opportunities, Challenges
https://arxiv.org/abs/2308.06374

* position paper: https://en.wikipedia.org/wiki/Position_paper
* hybrid representation of explicit knowledge (knowledge graphs) & parametric knowledge (LLM)

#LLM #LargeLanguageModels #LanguageModels #NLP #NaturalLanguageProcessing #GPT #ChatGPT #GPT3 #GPT4 #KG #KnowledgeGraph #KnowledgeGraphs #epistimology #knowledge #ImplicitKnowledge #ExplicitKnowledge #ParametricKnowledge #ontology

Large Language Models and Knowledge Graphs: Opportunities and Challenges

Large Language Models (LLMs) have taken Knowledge Representation -- and the world -- by storm. This inflection point marks a shift from explicit knowledge representation to a renewed focus on the hybrid representation of both explicit knowledge and parametric knowledge. In this position paper, we will discuss some of the common debate points within the community on LLMs (parametric knowledge) and Knowledge Graphs (explicit knowledge) and speculate on opportunities and visions that the renewed focus brings, as well as related research topics and challenges.

arXiv.org