Knowledge graph Schema design method based on enterprise data

Abstract

The invention discloses a knowledge graph Schema design method based on enterprise data, and the method is characterized in that the method comprises the following steps: S1, carrying out arrangementof various types of business data needed by an enterprise business process, and carding the sequence of the business process; S2, extracting ontologies, attributes and corresponding relations among the ontologies and the attributes through the data sorted in the step S1; and S3, according to the business process and the relationship among the ontologies, carrying out knowledge graph: {ontology (attribute)-relationship-ontology (attribute)} triad Schema design.

Description

technical field [0001] The present invention relates to the technical field of knowledge map construction rules, in particular to a knowledge map Schema design method based on enterprise data. Background technique [0002] With the continuous development of the enterprise, the business data of the enterprise is becoming more and more complicated. The management and monitoring of ordinary enterprise business data cannot achieve the desired effect of the enterprise, and it is impossible to quickly sort out the data necessary for the enterprise to conduct business transactions. Information, and accurately and intuitively describe the logical sequence and flow among various information, and extract dependencies, constraints, associations, inclusions, attributes and other relationships, resulting in low efficiency in business management and monitoring of enterprises. [0003] Aiming at the above-mentioned problems of related technologies, no effective solution has been proposed a...

AI Technical Summary

Problems solved by technology

[0002] With the continuous development of enterprises, the business data of enterprises are becoming more and more complicated. The management and monitoring of ordinary enterprise business data cannot achieve the desired effect of enterprises, and cannot quickly sort out the data necessary for enterprises to conduct business transactions. Information, and accurately and intuitively describe the logical order and flow among various information, and extract dependencies, constraints, associations, inclusions, attributes and other relationships, resulting in inefficient business management and monitoring of enterprises

[0003] For the above-mentioned problems of related technologies, no effective solution has been proposed at present

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