Method for identifying knowledge gaps of cultural innovation enterprise in Internet + environment

Abstract

The invention relates to a method for identifying knowledge gaps of a cultural innovation enterprise in an Internet + environment and the method comprises the following steps: S1, constructing a knowledge universal set network in the Internet + environment by an undirected weighted connected graph G = (V, E); S2, representing the networked knowledge carrier text as semantic information of word vectors, vectorizing knowledge topic semantics, and obtaining semantic similarity; S3, constructing a cultural innovation enterprise reserve knowledge topic network by using an undirected weighted connected graph G '= (V', E '), and S4, extracting subject terms in the demand knowledge carrier text, completing demand knowledge topic identification through word frequency and reverse document frequency,and identifying knowledge gaps in demand knowledge topics on the basis of identifying the demand knowledge topics. The invention mainly solves the problems that cultural innovation enterprise knowledge is seriously insufficient in some directions and knowledge gaps exist.

Description

technical field [0001] The invention relates to the technical field of knowledge gap analysis and identification, in particular to a method for identifying knowledge gaps of cultural innovation enterprises under the Internet+ environment. Background technique [0002] "Internet +" provides a wide range of integration platforms and technical support for enterprise innovation and economic development, but the new environment and new formats it brings pose great challenges to technological and business model innovation. In the "Internet +" environment, fierce market competition has led to accelerated product and service R&D iterations in the new environment, forcing cultural innovation companies to improve their ability to integrate a large number of knowledge and technical resources. When the knowledge reserves and existing technologies of cultural innovation enterprises cannot meet the needs of innovation, there will be a knowledge gap. For specific innovation activities, qu...

AI Technical Summary

Problems solved by technology

[0015] To sum up, it can be seen that the existing knowledge gap identification methods used to be mainly qualitative research. In recent years, computer quantitative methods based on text mining and graph theory have appeared. Related applications are used in different types of enterprises, scientific research teams, online platforms, etc. This has been reflected in organizations, but generally speaking, there is no technical research on the use of quantitative methods to identify knowledge gaps in cultural innovation enterprises in the "Internet +" environment.

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