Is it useful to build an industrial knowledge map platform?

Industrial manufacturing is developing rapidly , Various industrial Internet platforms stand out , But among them, there are few industrial knowledge maps , Why is that ？

The knowledge map dates back to 2012 It was formally proposed by Google in , Its original intention is to improve search performance , Enhance the user search experience . At present, there is no unified definition of knowledge atlas , A commonly accepted definition is : Knowledge mapping is essentially a semantic network , Nodes in the network represent entities or concepts , The edge represents the entity / The various semantic relations between concepts . A broader definition is : Knowledge atlas uses graph as a medium to organize and utilize large-scale and different types of data , And express clear general or domain knowledge .

In terms of the areas covered , Knowledge atlas can be divided into general knowledge atlas and industry knowledge atlas . At present, the industry knowledge map has been applied in financial securities 、 Biomedical 、 Library information 、 Online retailers 、 Agriculture 、 government affairs 、 Operators, media and other industries have been more successful applications . The industrial knowledge map also belongs to the latter .

There are the following ways to build a knowledge map platform 3 Possible ways : Expand on the current open source knowledge map platform ; Integrate the tools corresponding to each link in the life cycle of the industry knowledge map into a complete platform ; Build from scratch . As a whole , The first 1 These methods are often difficult to implement , Because these open source knowledge map platforms are designed from 、 Scalability and other aspects are difficult to carry out in-depth secondary development , And the first 3 This method is too expensive , therefore , The best practice method should comprehensively utilize the tools corresponding to the life cycle of the industry knowledge map , On this basis, the overall design of the whole process to meet the above requirements , And the lack of tools for targeted development , Improve the tools that need to be improved , So as to form a complete and practical knowledge map platform .

At present, only a few platforms have done well , This includes the khumi industrial knowledge atlas , Khumi industrial knowledge atlas is the management and application service platform of industrial knowledge . The industrial knowledge atlas faces the industrial field 、 Build the industrial chain . The platform has a knowledge model 、 Knowledge Download 、 subscribe 、 Knowledge is connected 、 Intelligent search and other functions . The underlying deployment of the industrial knowledge map supports the public cloud , Private cloud and non cloud deployment ; In a large number of industrial application scenarios owned by khumi , Will precipitate a lot of knowledge content , Including the equipment body , Fault map , Knowledge base formed by case atlas , And the unity of words , Template resource base of corpus .

Knowledge atlas is the representative technology of knowledge engineering in the era of big data , It is the product of the combination of symbolism and connectionism , It is also the cornerstone of cognitive intelligence .

Partly derived from ： A summary of large-scale enterprise knowledge mapping practice