A method and system for knowledge extraction

Abstract

The invention discloses a method for knowledge extraction, which includes the following steps: S1, converting personal or organizational experience into electronic intermediate knowledge through text input technology, voice input technology or video input technology, and uploading to the server through a network transmission protocol; S2, classify the intermediate knowledge according to the content structure elements contained in the intermediate knowledge; S3, extract the core knowledge points in the intermediate knowledge, and establish the knowledge point list of the core knowledge points; The content structure elements are structured to form general knowledge, and uploaded to the server through the network transmission protocol. The innovation of the present invention lies in: classifying knowledge, and finding the internal law and structural element law between knowledge based on it, so as to avoid knowledge error and knowledge loss caused by lack of 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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