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Knowledge system modeling method based on knowledge ontology

A modeling method and knowledge technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as lack of models

Inactive Publication Date: 2014-04-30
BEIJING SIMULATION CENT
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the research on the knowledge system model of the existing technology is closely related to the field, and different knowledge system models will be constructed for different domain application problems, and there is a lack of a knowledge system model applicable to various technical fields

Method used

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  • Knowledge system modeling method based on knowledge ontology
  • Knowledge system modeling method based on knowledge ontology

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Embodiment Construction

[0034] The invention content of the present invention will be further described below with reference to the accompanying drawings and embodiments.

[0035] like figure 1 As shown, the modeling system adopted by the ontology-based knowledge system modeling method provided in this embodiment includes a knowledge acquisition module 1 , a knowledge classification module 2 , a knowledge representation module 3 , a knowledge packaging module 4 and a knowledge file generation module 5 .

[0036] like figure 2 As shown, for heterogeneous knowledge in multiple technical fields that intersect with each other, the modeling method for the knowledge system based on knowledge ontology provided by this embodiment includes the following steps:

[0037] S1: The knowledge acquisition module 1 acquires the knowledge of the technical field by providing a knowledge template to the user according to the characteristics of each technical field and sends it to the knowledge classification module 2;...

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Abstract

The invention discloses a knowledge system modeling method based on knowledge ontology. The modeling method includes the following steps that a knowledge acquisition module acquires knowledge in the technical field and sends the knowledge to a knowledge classification module by providing a knowledge template for a user according to the characteristics of each technical field; the knowledge of all the technical fields is uniformly classified by the knowledge classification module, and the classified knowledge is sent to a knowledge representation module; the knowledge of the same category is represented in the mode capable of being recognized by a computer and sent to a knowledge packaging module by the knowledge representation module; all the knowledge of all the technical fields is uniformly packaged by the knowledge packaging module based on the knowledge ontology according to uniform packaging specifications to obtain base elements of knowledge and knowledge components, and the base elements of knowledge and the knowledge components are sent to a knowledge file generation module; the base elements of knowledge and the knowledge components are used for generating knowledge files capable of being recognized by a multi-mode inference engine according to the owl specifications by the knowledge file generation module.

Description

technical field [0001] The invention relates to the technical field of modeling of knowledge system, in particular to a modeling method of knowledge system based on knowledge ontology. Background technique [0002] As we all know, with the development of science and the advancement of technology, there are more and more intersecting technical fields involved in actual engineering practice. For multiple technical fields that cross each other, the knowledge of each technical field has its particularity, and the knowledge representation method and knowledge mechanism research in the existing technology have limitations, which leads to the knowledge of each technical field that crosses each other. Often heterogeneous and complex. The heterogeneity of knowledge includes the heterogeneity of knowledge representation methods and the heterogeneity of knowledge representation. Heterogeneous knowledge cannot understand each other and cannot share inference engines. [0003] In mult...

Claims

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Application Information

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IPC IPC(8): G06F17/50
Inventor 谷牧柴旭东李潭
Owner BEIJING SIMULATION CENT
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