I’ve noticed that #Data people are co-opting and commandeering #Knowledge domain recently, likely as a result of emergent #GenAI opportunities from the #LLM and #RAG angles regarding #KnowledgeGraphs regarding a #DataMesh trajectory … and then the rediscovery of value of #Ontology (#SemanticWeb #LinkedData) driven approaches, especially regarding federated and decentralized and distributed approaches … this is likely catching traditional #Knowledge and #LearningAndDevelopment people off guard … which is ok, but!: everyone needs a reminder that #KnowledgeGraphs and #KnowledgeRepresentationAndReasoning and #KnowledgeManagement are all far different things for different purposes for different reasons … the interrogatives shouldn’t get confused nor conflated . everyone also forgets about #REST and #Hypermedia regarding #LinkedData . #DataProducts #DCAT #DPROD should include hypermedia affordances in representations, as that is where value is derived from human or machine perspective of behavior actualization . I’m working on #HYPRCAT which is a #DCAT profile which decorates #DataMarketplaces #DataCatalogs #DataProducts with distributed hypermedia affordances . I’m designing reference implementations first regarding #xAPI regarding the #LearningEngineering domain .
Oooh! You and I need to talk :)