Knowledge graph-based demand management application method and device, equipment and medium

Abstract

The embodiment of the invention discloses a demand management application method and device based on a knowledge graph, equipment and a medium. The method comprises the following steps: acquiring a plurality of work order data for describing requirements; carrying out word segmentation processing on the text content in the work order data, and identifying the processed segmented words based on a preset telecom industry word library; and inputting the identified result into a preset knowledge graph, and if it is determined that knowledge matched with the identified result exists in the knowledge graph, taking a knowledge label corresponding to the knowledge as an attribute of the requirement described by the plurality of work order data. Through the technical scheme of the invention, various work order data can be effectively classified based on the learning ability of the knowledge graph, and valuable demand contents can be conveniently provided for users subsequently.

Description

technical field [0001] The present invention relates to the technical field of big data, and in particular, to a demand management application method, device, device and medium based on knowledge graph. Background technique [0002] With the intensification of the full-service competition pattern, under the highly competitive market environment of the telecommunications industry and the leap-forward development of the Internet, new services and new technologies emerge in an endless stream, along with the continuous deployment of new services, new systems, and new equipment. While improving the system support capability, each development, maintenance, and problem demand in the demand management platform generates a large amount of data every day, and the proposers, project managers, experts, and manufacturer leaders need to analyze and process a large number of demand and function points every day. [0003] The existing manual input keyword matching method can no longer meet ...

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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