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Working through a practical example, you’ll learn how to explore and develop a knowledge model visually, bring data into your knowledge graph, capture business knowledge as rules, and use natural language to ask questions grounded in your data and explicitly defined business logic.
You’ll also see how Mantix and RDFox work together, and how domain experts, technical teams and semantic specialists can collaborate more effectively to build trusted, knowledge-based AI applications.
Prerequisites:
Topics include:
Getting started with RDFox Mantix
Working with data and knowledge
Working with AI
Putting Mantix into practice
Technical Requirements:
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The team behind Oxford Semantic Technologies started working on RDFox in 2011 at the Computer Science Department of the University of Oxford with the conviction that flexible and high-performance reasoning was a possibility for data-intensive applications without jeopardising the correctness of the results. RDFox is the first market-ready knowledge graph designed from the ground up with reasoning in mind. Oxford Semantic Technologies is a spin-out of the University of Oxford and is backed by leading investors including Samsung Venture Investment Corporation (SVIC), Oxford Sciences Enterprises (OSE) and Oxford University Innovation (OUI).