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So, KGF 2023 proved to be a breath of fresh air for anyone interested in topics like data mesh and data fabric , knowledge graphs, text analysis , large language model (LLM) integrations, retrieval augmented generation (RAG), chatbots, semantic dataintegration , and ontology building.
Added to this is the increasing demands being made on our data from event-driven and real-time requirements, the rise of business-led use and understanding of data, and the move toward automation of dataintegration, data and service-level management. This provides a solid foundation for efficient dataintegration.
Semantic DataIntegration With GraphDB. In the context of the FROCKG project, we have loaded close to one billion triples in the knowledge graph and, if you want to explore it, you can easily write a SPARQL query that can create a sub-graph. Visual Ontology Modeling With metaphactory.
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