Method and system for constructing and inquiring knowledge graph in field of science and technology

A technology of domain knowledge and query method, applied in the direction of database management system, relational database, semantic tool creation, etc., can solve the problems of difficult flexible expansion of data model, low accuracy, etc., and achieve good promotion and application value and simple operation

Pending Publication Date: 2019-10-01
INSPUR QILU SOFTWARE IND
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, there are at least the following defects in the existing knowledge graph construction methods in the prior art: 1) the data model is difficult to flexibly expand according to specific industries; 2) the open general knowledge graph focuses on breadth, emphasizing the integration of more entities, its accuracy is not high, and Affected by the scope of concepts, it is difficult to cover entities, attributes, and relationships between entities in specific industry vertical fields with the help of ontology libraries

Method used

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  • Method and system for constructing and inquiring knowledge graph in field of science and technology

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Embodiment

[0042] Such as figure 1 As shown, in the method for constructing and querying the knowledge map in the scientific and technological field of the present invention, the user sorts out the data in the relational database, sorts out the objects, relationships, and attribute information to be defined, and defines the objects, relationships, and attribute information through data modeling. And define the mapping information from relational database data tables to objects, relationships, and attributes; convert relational database data extraction into object, relationship, and attribute instances and store them in the graph database, and perform graph query analysis through attribute value matching. Specifically include the following steps:

[0043] S1. Sort out data: sort out the data in the relational database.

[0044] Sorting out scientific research personnel, scientific research projects, scientific research output, and scientific research unit objects, sorting out project out...

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Abstract

The invention discloses a method and a system for constructing and inquiring a knowledge graph in the field of science and technology, and belongs to the technical field of science and technology management information. According to the method and system for constructing and inquiring a knowledge graph in the field of science and technology, a user sorts data in a relational database, sorts out object, relation and attribute information to be defined, defines the object, relation and attribute information through data modeling, and defines mapping information from a relational database data table to objects, relations and attributes; and the relational database data into is extracted and converted into objects, relations and attribute instances, and the objects, the relations and the attribute instances are stored in a graph database, and graph query analysis is carried out through attribute value matching. According to the method and system for constructing and inquiring a knowledge graph in the field of science and technology, the value exploration and information discovery requirements of the user on the big data gold mine can be better met, and the popularization and application value is very good.

Description

technical field [0001] The invention relates to the technical field of scientific and technological management information, and specifically provides a method and system for constructing and querying knowledge graphs in the scientific and technological field. Background technique [0002] In recent years, knowledge graph is becoming a key technology to realize multi-source heterogeneous hypermedia data fusion. The knowledge graph is essentially a semantic network. The nodes in the graph represent entities or concepts, and the edges represent various semantic relationships between entities / concepts. Ontology modeling based on knowledge graph technology essentially provides a unified data model with a high level of abstraction for multi-source, heterogeneous, and diverse types of big data. Based on such a data model, various sources, heterogeneous, and massive big data are aggregated, fused, and correlated for storage through a set of map generation tools. Big data analysis ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/28G06F16/25G06F16/36
CPCG06F16/284G06F16/288G06F16/258G06F16/367
Inventor 周庆勇李明明
Owner INSPUR QILU SOFTWARE IND
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