Application method, device, equipment and medium of demand management based on knowledge graph

Abstract

The embodiment of the invention discloses a demand management application method, device, equipment and medium based on a knowledge map. The method includes: acquiring several work order data used to describe requirements; performing word segmentation processing on the text content in the work order data, and identifying the processed word segmentation based on a preset telecommunications industry lexicon; Input the result of the knowledge map into the preset knowledge map, if it is determined that there is knowledge matching the identified result in the knowledge map, the knowledge label corresponding to the knowledge is used as the attribute of the requirement described by the several work order data. Through the technical solution of the present invention, various types of work order data can be effectively classified based on the learning ability of the knowledge map, so as to facilitate subsequent provision of valuable demand content for users.

Description

technical field [0001] The present invention relates to the field of big data technology, in particular to a demand management application method, device, equipment and medium based on a knowledge map. Background technique [0002] With the intensification of full-service competition, under the highly competitive market environment of the telecommunications industry and the leapfrog development of the Internet, new services and new technologies emerge in an endless stream, accompanied by the continuous deployment and launch of new services, new systems, and new equipment. While improving the system support capability, the development, maintenance, and problem requirements in the requirements management platform generate a large amount of data every day, and the proposers, project managers, experts, and heads of manufacturers need to analyze and process a large number of requirements and function points every day. [0003] The existing manual input keyword matching method can...

AI Technical Summary

Problems solved by technology

[0003] The existing manual input keyword matching method can no longer meet the search and display of relevant knowledge under the intensity of system research and development. However, during the process of invention and creation, the inventor found that the existing technology has the following shortcomings: in the daily demand management due to repetition, Inefficiency, ambiguity and other reasons lead to the loss of system R&D resources for development requirements, which prolongs the entire life cycle of requirements management

The traditional classification analysis method cannot automatically extract knowledge points for matching according to the requirements, so that it cannot associate risks and problems that may be involved in the development process of the requirements

Due to the knowledge asymmetry and different business levels of demand management personnel, the risks in the process of demand development and maintenance are greatly increased

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