A method and system for knowledge extraction

Abstract

The invention discloses a knowledge extraction method, which comprises the following steps: S1, transforming personal or organizational experience into electronic intermediate knowledge through text input technology, voice input technology or video input technology, and uploading the electronic intermediate knowledge to a server through a network transmission protocol; S2, classifying the intermediate knowledge according to the content structure elements contained in the intermediate knowledge; S3, extracting the core knowledge points in the intermediate knowledge, and establishing the list ofthe knowledge points of the core knowledge points; S4, using the knowledge extraction tool to structure the content structure elements in the list of knowledge points to form the general knowledge, and upload it to the server through the network transmission protocol. The invention is innovative in that: knowledge is classified, and the inherent law and the structural element law among the knowledge are found according to the knowledge, so as to avoid the knowledge bias and the knowledge loss caused by the lack of the structure.

Description

technical field [0001] The invention relates to the technical field of learning, sharing and application of network resources, in particular to a method and system for knowledge extraction. Background technique [0002] In today's society, the Internet has penetrated into people's daily life, and more and more people learn external knowledge from the Internet, such as learning knowledge through online electronic courses. In the Internet age, most knowledge is digitized into documents, audio, or video information and stored in network servers, and people can learn quickly through direct browsing. However, in addition to knowledge that can be absorbed directly through certain forms of information (such as word documents, videos), there are also some tacit knowledge such as organization and personal experience that can be used by people. The typical method of transforming the existing tacit knowledge into explicit knowledge materials is to use a document editor (such as MS off...

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Problems solved by technology

[0003] 1. The extracted knowledge is incomplete

[0004] Writing practical cases is only suitable for knowledge that includes process steps and solutions, and a large amount of knowledge of information, tools, concepts, and principles cannot be extracted and refined

[0005] 2. The extracted knowledge lacks structure

[0006] Different people have individual differences in their understanding of the elements of knowledge contained in personal experience, resulting in uneven extraction of knowledge and varying degrees of lack of completeness

[0007] 3. The extracted knowledge does not have universal applicability

[0008] Personally writing practical cases or summarizing experience, with personal cognitive bias, the applicability of the summarized knowledge is doubtful, the main reason is that the traditional knowledge extraction method is a simple induction method, which is upgraded from individual experience to general Knowledge, lack of verification and falsification link

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