Dr. Cope
Author: lingxia (senior consultant, ph. D., china electronics society)
Knowledge graph, with its strong semantic processing and open organizational capabilities, has laid the foundation for intellectual organization and intellectual applications in the internet age. Recently, research and applications of large-scale knowledge mapping have attracted sufficient attention in academia and industry。
With the technological development and application of artificial intelligence, knowledge mapping, as one of the key technologies, has been widely applied in many industries and areas, such as intelligence searches, smart questions and answers, and personalized referral human interactive dialogue systems。
The concept of knowledge mapping was first formally introduced in google in 2012 and was primarily used to support the next generation of search and online advertising. Knowledge mapping is a “chain network” of knowledge that connects, constructs an information processing structure for the human brain and has near limitless information that expands space and growth and allows computers to better store, organize, manage and use mass information。
The greatest value of the knowledge map lies in its ability to provide artificial intelligence with cognitive and logical capabilities, leading to the application of scenarios such as intelligence analysis, intelligent search, human interaction, which has the advantage of being a central link in the application of artificial intelligence in areas such as finance, medicine and justice。
Industry applications of knowledge mapping, for example in the area of intelligent searching, make content more precise. The internet industry with big data is undoubtedly at the forefront of the application of knowledge mapping. Large internet giants, by building their own ecological closed loops, generate, digest and regenerate data in the ecology, constantly refine their own knowledge maps and knowledge base, equip search engines with more precise analytical capabilities, better able to identify key information in human languages and provide reliable smart engines for new retailing and internationalization。
In the health sector, the development of new medicines is costly and has a long life cycle. Based on this situation, the openphacts project of the open medicines platform under the seventh framework of the european union uses data from laboratory typologies, research findings in the literature of periodicals and open data. In the medical sector, medical personnel can also be provided with complementary clinical decision-making through the integration of a large number of medical literature and books and the historical high-quality medical knowledge of various electronic diseases。
The logical structure of the knowledge mapping is the human brain model, which provides an entirely new perspective and opportunity for “explainable artificial intelligence” to understand and operate complex systems in society and enhance people's ability to harness science and technology. Human interaction with machines will be more natural, predictable and emotional. For enterprises, products and services will have a cognitive capacity, which will have a destabilizing effect on the enterprise, reshaping the shape of the industry in which they operate and transforming key links in the industry。
It is believed that, in the future, more and more intellectual work will gradually be replaced by machines, and that the mapping of knowledge will enable the recognition of intelligence and promote the widespread and diversified application of artificial intelligence, with far-reaching implications for the social fabric。
The day of light (13th edition of 2018)
