The journey from unstructured data, like text and images, to a structured knowledge graph illustrates the transition from simple retrieval to advanced reasoning in AI systems.
Google’s 2012 introduction of the knowledge graph marked a pivotal shift; rather than connecting words, it sought to directly interlink entities, showcasing the evolution of search technology.
Early search engines' reliance on keyword matching neglected the interconnected nature of the web, which Google addressed by recognizing it as a vast network of knowledge.
The differentiation between the graph of knowledge and the knowledge graph lies in their structure; the former is conceptual, while the latter is a formal, machine-readable entity network.
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