Building method of atomic data element models

Abstract

The invention provides a building method of atomic data element models. The method includes: dividing and classifying various concepts related in an operating process according to 6W (where, when, who, which, what and why) rules to obtain a concept catalogue composed of multiple items arranged in order, each item comprising an identifier field, a data element name field, a data element class field and a data element type field. The items include a time data element item, a location data element item, an object data element item, a participant data element item, a business activity data element item, a material data element item, a characteristic data element item and a reference data element item. The method further includes defining storage structures of the data element models and storing the data element models according to the storage structures. The method has such advantages that the building process is clear and simple, the concept hierarchy is clear, the concept relationship is clear, and a transaction flow diagram, an object relation diagram and system function structures are easily derived.

Description

technical field [0001] The invention belongs to the technical field of "electrical digital data processing" in the field of computer "calculation, calculation, and counting", and specifically relates to a modeling method of an atomic-level data element model. Background technique [0002] Data element is the basis for consistent expression, exchange and sharing of information resources at the network level. It is a data unit that uses a set of attributes to describe its definition, identification, representation and allowable values. It is a data unit in a certain context. Constructing a semantically correct, independent and unambiguous information unit of a specific concept is considered as the smallest data unit that cannot be divided in a specific semantic environment, so as to ensure the consistency and accuracy of shared information resource representation. Conceptually, a data element is a combination of an object class and a characteristic, and is composed of two part...

AI Technical Summary

Problems solved by technology

[0003] Most of the data elements in the existing technology are data elements at the logical level, which are only of reference value in the design of the physical storage structure of data, and are difficult to play a role in practical applications

[0004] In addition, the existing data element modeling process is complex and inconvenient for non-computer field personnel to operate; even computer field personnel need to spend a lot of energy when modeling data elements, which has the problem of low modeling efficiency

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