Knowledge Graph

In knowledge representation and reasoning, knowledge graph is a knowledge base that uses a graph-structured data model or topology to integrate data. Knowledge graphs are often used to store interlinked descriptions of entities – objects, events, situations or abstract concepts – while also encoding the semantics underlying the used terminology.[1] Since the development of the Semantic Web, knowledge graphs are often associated with linked open data projects, focusing on the connections (semantic relations) between concepts and entities.[2][3] They are also prominently associated with and used by search engines such as Google, Bing, and Yahoo; knowledge-engines and question-answering services such as WolframAlpha, Apple's Siri, and Amazon Alexa; and social networks such as LinkedIn and Facebook. https://en.wikipedia.org/wiki/Knowledge_graph

What Does a Line Between Two Ideas Actually Mean?

• The first thing you can add to an edge is a direction. Now an edge runs from one node to another, and the graph is a directed graph.
• The second thing you can add is a label: a word or phrase on the edge naming what kind of relationship it is.
• Once you leave kinds and parts, the relationships stop forming neat hierarchies and start forming the real texture of a subject, and no fixed list of them fits every subject. A history is full of “precedes” and “causes”; a legal corpus is full of “cites” and “overrules”; a body of arguments is full of “supports” and “contradicts”. The vocabulary of relationships is itself part of what you know about a field.
• Joseph Novak, who developed concept mapping in the 1970s as a way of studying how children learn science, insisted on one rule that most diagram tools ignore: every link between two concepts must carry a linking word, so that concept, link and concept together read as a proposition.
• There is a practical version of this that anyone who has tried it recognises. Putting a line between two ideas is easy and feels productive. Being forced to say what the line means is hard, and it is hard because it makes you find out whether you actually know. Is superposition a part of quantum mechanics, or a consequence of it, or one of its postulates? You had a feeling they were connected (associative). Naming the connection turns the feeling into a claim you can be wrong about, and a claim you can be wrong about is one you can check, refine, and build on.