Listen now | You never really have to worry about how you store knowledge. All that knowledge just gets accumulated day by day and how it is stored, structured, and even retrieved happens without any intervention. It’s just something that you do autonomously. That is very different when you have to manage all that data and store it. Navigating the intricate maze of data science, structuring really large knowledge graphs presents itself as both an art and a science. This endeavor, crucial for deepening our understanding and utilization of complex datasets, entails a series of pivotal steps and considerations. Today, we'll explore the foundational principles and practical strategies for effectively structuring these expansive networks of interconnected information, while drawing on the organizational wisdom of traditional knowledge structures like the Dewey Decimal System (DDS).
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Structuring really large knowledge graphs
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Listen now | You never really have to worry about how you store knowledge. All that knowledge just gets accumulated day by day and how it is stored, structured, and even retrieved happens without any intervention. It’s just something that you do autonomously. That is very different when you have to manage all that data and store it. Navigating the intricate maze of data science, structuring really large knowledge graphs presents itself as both an art and a science. This endeavor, crucial for deepening our understanding and utilization of complex datasets, entails a series of pivotal steps and considerations. Today, we'll explore the foundational principles and practical strategies for effectively structuring these expansive networks of interconnected information, while drawing on the organizational wisdom of traditional knowledge structures like the Dewey Decimal System (DDS).