The graph of knowledge vs. the knowledge graph: GoK is a broader, more conceptual idea focusing on interconnected information, without necessarily being highly structured. KG refers to a formal, structured, machine-readable network of entities and relationships, designed for advanced reasoning and AI tasks.
RelationalAI
Whereas the graph of knowledge (GoK) is a broader, more conceptual idea focusing on interconnected information, without necessarily being highly structured, the knowledge graph (KG) refers to a formal, structured, machine-readable network of entities and relationships, designed for advanced reasoning and AI tasks.
Tim Berners-Lee, the inventor of the web, had long foreseen this need for a structured way to organize information, coining the term “semantic web” in his book Weaving the Web. While this vision of the semantic web took time to materialize, Google’s knowledge graph made it practical, setting the stage for the development of sophisticated AI systems that could reason over these knowledge networks. Similarly, companies like Amazon created a product graph, and the open-source community worked on initiatives like Wikidata, which organized Wikipedia into a massive, public knowledge graph.
From knowledge graphs to question answering
The creation of knowledge graphs transformed how information was retrieved, organized, and connected, moving from simple keyword matching to sophisticated entity recognition. But this advancement didn’t stop at improving web search. It became a cornerstone in solving more complex problems in AI, particularly in the realm of question answering (QA) systems.
