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KGF 2023: Bikes To The Moon, Datastrophies, Abstract Art And A Knowledge Graph Forum To Embrace Them All

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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 data integration , and ontology building.

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From Data Silos to Data Fabric with Knowledge Graphs

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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 data integration, data and service-level management. This provides a solid foundation for efficient data integration.

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Top Graph Use Cases and Enterprise Applications (with Real World Examples)

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Graphs boost knowledge discovery and efficient data-driven analytics to understand a company’s relationship with customers and personalize marketing, products, and services. Linked Data, subscriptions, purchased datasets, etc.).

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Crafting a Knowledge Graph: The Semantic Data Modeling Way

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Paradoxically, even without a shared definition and common methodology, the knowledge graph (and its discourse) has steadily settled in the discussion about data management, data integration and enterprise digital transformation. Clean your data to ensure data quality.

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The Semantic Web: 20 Years And a Handful of Enterprise Knowledge Graphs Later

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We rather see it as a new paradigm that is revolutionizing enterprise data integration and knowledge discovery. It is these two important types of data, which, taken together, implement the Semantic Web vision bringing forward innovative ways of tackling data management and data integration challenges.