Author: Zen and the Art of Computer Programming
1 Introduction
The key technologies currently faced include artificial intelligence, machine learning, big data, databases, data collection, data processing, data mining, etc. With the continuous upgrading of artificial intelligence technology, big data technology will also become a necessary means to achieve intelligent application and comprehensive analysis. Data not only needs to be processed with high quality, but also needs to be able to effectively integrate many different types of heterogeneous data resources. "Knowledge graph can help us better manage and use the value of big data, and provide strong support for the future development of artificial intelligence technology." "
Knowledge graph" is a disruptive technological revolution. It abstracts the complex cognitive processes of humans, improves personal abilities and problem-solving efficiency, optimizes business models, and gives the Internet new vitality. "Knowledge Graph" is an artificial intelligence tool based on big data analysis. It unifies massive data and uses graphical representation to achieve rapid query, analysis and mining of data. "Knowledge graph" has the following five characteristics: entity linking, relationship modeling, reasoning computing, semantic search and knowledge fusion.
"Knowledge graph" is another major breakthrough after machine learning. "Knowledge graph" will bring huge value. First of all, "Knowledge Graph" will provide ordinary users with a new way to obtain information - quickly and accurately obtain the required information through knowledge retrieval, analysis, classification, association, filtering, etc., reducing the difficulty of information search. Secondly, the "knowledge graph" will greatly facilitate unstructured data, such as text, images, audio and other unstructured data, and provide excellent tools for tasks such as data analysis, mining, mining and data visualization. Third, “knowledge graph” will bring about new business models. For example, e-commerce websites can use “knowledge graph” to implement functions such as product recommendation and user portraits. Fourth, the “knowledge graph” will promote the industrial transformation of information technology, especially in the industrial field, where it can reduce costs and improve efficiency. Fifth, the “knowledge graph” will become a supercomputing platform, providing strong support for various industries in the field of artificial intelligence.
Although Professor Li Linqiang believes that "knowledge graph" has huge potential, the technology to realize "knowledge graph" is still in its infancy. In the past ten years, many new technologies have emerged, but "knowledge graph"