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A Semantic Modeling Method Based on Data Graph, Information Graph and Knowledge Graph Framework for Association Frequency Calculation

A technology of knowledge graph and frequency, applied in the intersection of distributed computing and software engineering technology, can solve problems such as redundancy, incompleteness, inconsistency, etc., and achieve the effect of improving modeling quality and improving modeling efficiency

Active Publication Date: 2019-07-23
HAINAN UNIV
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Technical problem: The purpose of this invention is to provide a semantic modeling method based on data graph, information graph and knowledge graph framework for correlation frequency calculation, which is used to solve how to obtain reasonable class and object graphs and use Some Redundancy, Inconsistency and Incompleteness in UML Modeling Process

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  • A Semantic Modeling Method Based on Data Graph, Information Graph and Knowledge Graph Framework for Association Frequency Calculation
  • A Semantic Modeling Method Based on Data Graph, Information Graph and Knowledge Graph Framework for Association Frequency Calculation
  • A Semantic Modeling Method Based on Data Graph, Information Graph and Knowledge Graph Framework for Association Frequency Calculation

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Embodiment Construction

[0019] A semantic modeling method based on data graph, information graph and knowledge graph framework for correlation frequency calculation, the specific implementation plan is as follows:

[0020] Step 1) Obtain user requirement description. Requirements are described by one or more users, and there are redundancy and inconsistency in multi-source requirements. If developers collect user requirements through research, the user group will be very large, and user descriptions of requirements will be very confusing;

[0021] Step 2) Based on the demand description obtained in step 1, extract keywords and express them on the data map in the form of nodes, and record the structural frequency Str_f, temporal frequency Tem_f and spatial frequency Spa_f of each keyword . The present invention defines the frequency of structure as the number of times data appears in different data structures, and the data structure included in each calculation must be the largest data structure wher...

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Abstract

The invention discloses a semantic modeling and abstraction enhancing method for associated frequency calculation on the basis of a data atlas, an information atlas and a knowledge atlas, is mainly used for obtaining reasonable categories and object diagrams from initial requirement description and an application scene, and belongs to the cross field of distributed calculation and software engineering technologies. On the data atlas, a discrete entity, object, attribute and operation is expressed, the frequencies, which include a structure frequency, a time frequency and a space frequency, of each entity, object, attribute or operation can be recorded; on the information atlas, an interaction relationship between nodes is labelled, an interaction frequency, i.e., an interaction time is calculated, a plurality of nodes are integrated when the interaction frequency is greater than a set threshold value, and a generated new node is taken as an entity to continuously label the structure frequency, the time frequency and the space frequency; and on the knowledge atlas, the relationship among the categories on the knowledge atlas is subjected to further abstraction by a relationship abstraction rule, requirement expression integrity is supplemented, and development efficiency is improved.

Description

technical field [0001] The present invention is a semantic modeling method based on data graph, information graph and knowledge graph framework for correlation frequency calculation, which is mainly used to obtain reasonable class and object graphs from initial demand description and application scenarios, and belongs to distributed computing and Interdisciplinary field of software engineering technology. Background technique [0002] Model-driven engineering (MDE) alleviates cognitive complexity and effort in software development by generating code from models. In MDE, the model should accurately and completely meet the expected data, information and knowledge in the requirement specification after a series of refinement and abstraction. UML is a standard graphical modeling language proposed by three experts in the object-oriented field of Rational Corporation. It consists of four parts: basic structure, superstructure, object constraint language and diagram exchange stand...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/36G06F17/27G06N5/02
CPCG06F16/36G06F40/284G06F40/289G06F40/30G06N5/022
Inventor 段玉聪邵礼旭
Owner HAINAN UNIV
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