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Ontology model-based knowledge graph construction method

A construction method and technology of knowledge graph, applied in the field of information system data management, can solve the problems of insufficient knowledge, weak data retrieval ability, weak theoretical, method and technical research, and achieve the effect of saving storage space and improving access speed.

Inactive Publication Date: 2018-09-18
THE 28TH RES INST OF CHINA ELECTRONICS TECH GROUP CORP
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Problems solved by technology

However, the existing means of data aggregation and the role of knowledge supporting decision-making and command are still seriously insufficient. There is no complete correlation between static data and dynamic data, and between various types of data. The task-oriented data retrieval ability is weak, and the value of data Insufficient mining, related theories, methods and technical research are still relatively weak, and there is an urgent need to carry out research work on the construction of knowledge graphs based on existing data

Method used

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  • Ontology model-based knowledge graph construction method
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  • Ontology model-based knowledge graph construction method

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Embodiment Construction

[0039] The present invention will be further explained below in conjunction with the accompanying drawings and specific embodiments.

[0040] Firstly, definitions of ontology and instance concepts used in the present invention are given to help understand the implementation of the present invention.

[0041] Entity: It is the basic data representation unit in the data space, which describes an object in the real world and consists of one or more pairs. The representation of a triplet of entity attribute values ​​is as follows: (entity, attribute, value). For example, a person entity Zhang San includes attributes such as name, age, and gender, and each attribute has a corresponding value.

[0042] Ontology: It describes an abstract concept of the same type of entity in the real world, and points out the type or class that an entity should belong to, that is, any entity class belongs to a certain ontology, and an ontology class contains one or more entities. For example, the ...

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Abstract

The invention discloses an ontology model-based knowledge graph construction method. The method comprises the steps of firstly constructing multiple ontology models by data stored in a relational database through a unified data access method from the perspective of fully utilizing data values in an existing command information system; secondly constructing an ontology model relationship by utilizing a relationship among fields in an original database table, and finishing construction of a data relationship graph under an existing data architecture; thirdly obtaining all entity data under the ontology models, and constructing an entity data relationship by utilizing ontology model association parameters, thereby forming an entity data relationship network; and finally storing the ontology models, the entity data and the relationships in a graph database in an adjacent table manner, and realizing a graph structure-based index technology. The relationships can be constructed for data ontologies and entities in any relational database; a knowledge graph is quickly constructed; business personnel are assisted to master the data relationships; and existing data is fully utilized.

Description

technical field [0001] The invention relates to the technical field of information system data management, in particular to a method for constructing a knowledge graph based on an ontology model. Background technique [0002] Through the construction of the combat command information system for many years, various basic data, business information, strategic support information, etc. have been stored and accessed in the information service center, and the role of data / information collection has initially appeared. However, the existing means of data aggregation and the role of knowledge supporting decision-making and command are still seriously insufficient. There is no complete correlation between static data and dynamic data, and between various types of data. The task-oriented data retrieval ability is weak, and the value of data It has not been fully excavated, and the relevant theory, method and technology research is still relatively weak, and there is an urgent need to...

Claims

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Application Information

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IPC IPC(8): G06F17/30
Inventor 朱峰李磊鲁兴河李青山
Owner THE 28TH RES INST OF CHINA ELECTRONICS TECH GROUP CORP
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