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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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Content and data management solutions based on knowledge graphs are becoming increasingly important across enterprises. ” With new business lines, leading to new tools, a lot of diverse and siloed data inevitably enters enterprise systems. Another term Sumit introduced was datastrophy.

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Bridging the Gap Between Industries: The Power of Knowledge Graphs – Part I

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It can apply automated reasoning to extract further knowledge and make new connections between different pieces of data. This model is used in various industries to enable seamless data integration, unification, analysis and sharing. and other technologies for digital transformation of manufacturing systems.

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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. Maximize the usability of your data.

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GraphDB and metaphactory Part II: An RDF Database and A Knowledge Graph Platform in Action

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FROCKG (Fact Checking for Large Enterprise Knowledge Graphs) is a Eurostars-2 project that aims to develop efficient approaches to ensure the veracity of facts contained in enterprise knowledge graphs. Semantic Data Integration With GraphDB. Today, users from the general public, journalists, etc.