Information system management method based on knowledge graph

Abstract

The invention discloses an information system management method based on a knowledge graph. According to the method, multi-source heterogeneous data such as technical documents, test analysis reports,operation log data and user feedback generated in design and actual operation of an enterprise informatization system are utilized, entities and relations in the data are extracted by comprehensivelyutilizing iteration rules and a machine learning algorithm, and a knowledge graph of the enterprise information system is constructed. On the basis of the extracted triple data, logic rules and machine learning are combined to realize relationship reasoning of the knowledge graph, a hidden relationship of an enterprise internal information system is mined, existing knowledge graph data is supplemented and perfected, and finally, a webpage is designed by utilizing a B / S mode to visually display the knowledge graph of the enterprise internal information system. The knowledge graph visually andcomprehensively displays the composition structure of each information system of the enterprise, helps enterprise decision makers and technical management personnel to macroscopically master the interaction relationship of the internal information systems of the enterprise, and promotes healthier and more stable development of internal informatization construction of the enterprise.

Description

technical field [0001] The present invention relates to the field of knowledge graphs, specifically an information system management method based on knowledge graphs. The process provides guidance. Background technique [0002] Against the backdrop of economic globalization and technological advancement, companies in different industries have introduced various information systems to improve their work efficiency. However, many enterprises do not consider the overall level of the enterprise in the process of informatization. Different departments build their own systems, cutting off the connection between the internal processes of the enterprise; on the other hand, large enterprises and group enterprises have many departments, and there may be various problems. system. All of these lead to the inability of management decision-makers to grasp the overall situation of enterprise informatization. What is more serious is that with the adjustment of organizational structure and...

AI Technical Summary

Problems solved by technology

[0006] Aiming at the problem that enterprises cannot systematically sort out internal information, the present invention provides an information system management method based on knowledge graphs, which uses the data and documents of various information systems of enterprises to extract entities and relationships from information systems and construct The knowledge map of the enterprise's internal information system, which integrates the multivariate features of the data and the support vector machine algorithm to perform automatic relational reasoning, mines out the relational structure between systems, and uses visualization technology to present it intuitively, helping enterprise managers and technical managers to conduct in-depth analysis The complex structure and relationship between enterprise information systems can better support business decision-making and business process optimization

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