Semantic Network
A semantic network is a structured way to represent knowledge as a web of interconnected nodes and links, where nodes stand for concepts and links define relationships like 'is a' or 'part of.' This approach adds depth by capturing not just facts but the contextual nuances that make human-like understanding possible in machines. In today's digital world, it's a cornerstone of AI applications, from chatbots to personalized content recommendations.
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Semantic networks were first conceptualized in the 1960s by Ross Quillian, whose work on semantic memory influenced early AI, and they now power systems like Google's Knowledge Graph, which processes over 100 billion searches monthly with context-aware results. This idea has evolved to help machines not just store data, but truly 'understand' it, bridging the gap between human cognition and computer processing.
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