Knowledge graph, a new choice for getting rich quickly oO!

Let it be X first, and then according to the Pythagorean theorem, Brown's theorem, half-angle theorem, drawer principle, De Morgan's law, Dini's theorem, isoperimetric theorem, fundamental theorem of algebra, polynomial remainder theorem, De Moivre's theorem... we can draw the conclusion: Who doesn't want to "get rich overnight"?

Here, this article first introduces the concept of knowledge graph, and then teaches you how to build a "get rich quickly" knowledge graph based on the working principle of knowledge graph. Finally, you can practice the "get rich quickly" method based on the "get rich quickly" knowledge graph and achieve "get rich quickly"!

01What is a knowledge graph?

The knowledge graph can be understood as a semantic network, that is, the knowledge graph is a network that represents entities in the real world (i.e. objects, events, conditions or concepts, here it can be the "get rich quick" event and the "get rich quick" method) and explains the relationships between them.

Entities and relationships are usually stored in graph databases and presented intuitively in a graph structure, which is a knowledge "graph".

We can make a knowledge graph of the several methods that come to mind when we mention "getting rich quickly". This knowledge graph can look like the one below.

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02How to get rich quickly?

The construction and application of knowledge graphs require the support of a variety of intelligent information processing technologies, including knowledge extraction, knowledge fusion, knowledge reasoning, and knowledge representation. Below we use these four technologies to enrich the "get rich quick" method.

• Knowledge Extraction

Extract knowledge elements such as entities, relationships, and attributes from some public semi-structured and unstructured data. Through knowledge extraction, you can extract the "get-rich-quick" method from the huge amount of news content.

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• Knowledge Fusion

Eliminate the ambiguity between entities, relationships, attributes and other referents and factual objects to form a high-quality knowledge base. Through knowledge fusion, the "get rich overnight" method in fairy tales can be integrated into the "get rich overnight" knowledge base.

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• Knowledge Reasoning

Further explore implicit knowledge based on the existing knowledge base to enrich and expand the knowledge base. Through knowledge reasoning, we can infer from the analogy of winning the lottery that winning the lottery in the APP is also a way to get rich quickly.

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• Knowledge Representation

Vectors and graphics are constructed into graphs to achieve efficient expression. The expression of the "explosive" knowledge base is completed through knowledge representation.

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By studying the knowledge graph we can enrich the "get rich quick" knowledge base.

If AI and knowledge graphs are used in service search systems (and many search systems already do this, such as corporate holding relationship graphs), then machine learning-driven search systems can obtain a comprehensive view through a semantic enrichment process using natural language processing (NLP).

Once the knowledge graph is complete, the search system will be able to retrieve and reuse comprehensive answers to given queries. Then we can take the more easily obtained "rich" knowledge base and put it into practice!

"However, the above methods of "getting rich overnight" are all low-probability events. Ordinary people need to constantly improve themselves if they want to gain more wealth. Even the knowledge graph has jumped out of the search system and come to the fields of finance, social networking, etc."

03Application of Knowledge Graph

retail

Knowledge graphs are used for up-selling and cross-selling strategies to recommend products based on individual purchasing behaviors and popular purchasing trends among different groups.

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finance

Knowledge graphs are used in Know Your Customer (KYC) and Anti-Money Laundering programs within the financial industry.

It can assist in preventing and investigating financial crimes, helping banking institutions understand the flow of funds between customers and identify non-compliant customers.

Healthcare

Knowledge graphs benefit the healthcare industry by organizing and categorizing various relationships in medical research.

It can help healthcare providers make more accurate diagnoses and determine treatment plans based on the patient's specific circumstances and needs.

In-depth Q&A

Question answering system is an advanced form of information retrieval system that can provide users with answers to their questions in accurate and concise natural language.

Most question-answering systems break down a given question into multiple small questions, extract matching answers from the knowledge base one by one, automatically detect their consistency in time and space, and finally merge the answers (knowledge extraction, knowledge fusion, and knowledge expression from the knowledge graph) and present them to users in an intuitive way.

Social Network

Facebook launched the Graph Search product in 2013. Its core technology is to connect people, places, things, etc. through knowledge graphs, supporting precise natural language queries in an intuitive way.

For example, if you enter "friends who live in New York and like basketball and hot pot", the knowledge graph will help users find the people, photos, places and interests that are most relevant to them in the huge social network.

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Other applications

Education and scientific research industry, libraries, securities industry, biomedicine and some industries that require big data analysis.

These industries have an urgent need for integrated and related resources. Knowledge graphs can provide them with more accurate and standardized industry data and rich expressions, helping users to acquire industry knowledge more conveniently.

04Finally

I hope that everyone can learn the method of “getting rich overnight” through this article and have a basic understanding of knowledge graphs.

I wish you all to become winners in life and achieve financial freedom as soon as possible.