Knowledge map is essentially a semantic network and a graph-based data structure, which consists of nodes and edges. In the knowledge map, each node represents the "entity" existing in the real world, and each edge is the "relationship" between entities. Knowledge map is the most effective way to express relationships. Generally speaking, a knowledge map is a relational network that connects all different types of information together. Knowledge map provides the ability to analyze problems from the perspective of "relationship".
Just like watching a criminal investigation film, the police will list a bunch of relationships between prisoners and victims, and the knowledge map is to connect different information in series to form a network, so as to find what you need in the network.
If you look up Baidu, you will say that Baidu and Google are all using knowledge mapping technology. For example, if you search for "in the name of people", Baidu will recommend the characters in the play to you on the right, and click on it to introduce the characters. This is the information network extended from Taking in the name of people.
For this technology, an American company named Palantir played a particularly brilliant role in helping the United States catch bin Laden. Palantir's story can be seen here, which explains the principle behind the big data solution mentioned in the title.
A philosopher who helped the CIA find bin Laden by 40 seconds per second? _ _ biz = MzI4NzEwOTUwOA = = & ampmid=404872 190。 idx= 1。 sn = 734 Fe 72 a 1c3f 57 109 EC 5c 8 BCE 159 1a & amp； Scene = 2 1 # wechat _ redirect
Lin Jinzhou's paper "Business Application Process and Technical Background of Reading Knowledge Map"
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Understand how big data can solve crimes, and see the application of public security big data from palantir/articles/dsj20160524001.html.
Even the knowledge map of "network celebrities" in the AI field has experienced 40 years of untimely development/Articles/2017-12-13.
Overview of financial knowledge map
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