A Semantic Modeling Method Based on Data Graph, Information Graph and Knowledge Graph for Dynamic Abstraction of Processing Architecture Resources

Abstract

By aiming at the challenge of an existing value-oriented or value-driven data, information and knowledge life cycle evaluation method, the invention puts forward a semantic modeling method capable of carrying out dynamic abstraction of processing framework resources on the basis of a data atlas, an information atlas and a knowledge atlas, and belongs to the cross field of distributed calculation and software engineering technologies. On the basis of the data atlas, data observation and collection in software development activity requirement analysis can be analyzed, and the structure frequency, the time frequency and the spatial frequency of the data are labelled. The information atlas is used for recording the frequency of interaction among entities, frequently interacting nodes are subjected to preliminary abstraction and integration according to internal cohesion, which is obtained by calculation, among the entities, and the structure frequency, the time frequency and the spatial frequency of the data are labelled and integrated into the structure frequency, the time frequency and the spatial frequency of a new entity. In the requirement modeling of a detailed design activity, the invention elaborates the advantages of the knowledge atlas than UML (Unified Modeling Language) on the aspects of requirement expression, including the integrity, the coverage range and the like of semantic expression contained in requirements.

Description

technical field [0001] The present invention is a semantic modeling method based on data map, information map and knowledge map, which can dynamically abstract processing framework resources, and assists software design by calculating the frequency of data, information and knowledge on the data map, information map and knowledge map In this process, an entity self-adaptive generation mechanism is established, and the abstract level of modeling is gradually improved based on the three-layer architecture of data graph, information graph and knowledge graph. Background technique [0002] Software development has undergone several architectural changes from its birth to the present, from the traditional architecture stage to the component-based architecture stage, and then to the service-oriented architecture stage. Each change is to deal with the ever-increasing software complexity. Spend. With the gradual expansion of the scale of software applications and the gradual deepeni...

AI Technical Summary

Problems solved by technology

With the gradual expansion of the software application scale and the gradual deepening of the application level, the complexity of software development is increasing day by day

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