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Knowledge graph based on mixed database and construction method thereof

A knowledge map and construction method technology, applied in the direction of database model, database index, relational database, etc., can solve the problems of low knowledge reasoning support, complex structure, difficult to realize ordinary data table management, etc., to improve processing efficiency and search efficiency Fast and convenient to add, delete, check and modify the effect

Pending Publication Date: 2021-09-03
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

At present, the construction of knowledge graphs based on graph databases is also very common. It can store knowledge triples intuitively and vividly, and is good at expressing knowledge association and knowledge reasoning. However, its existing structure is relatively complicated, and the data support for table structures is not high.
[0004] In a complex knowledge graph system, only using relational databases has low support for knowledge reasoning, and complex table structures need to be used to build knowledge associations; and if only graph databases are used, it is difficult to implement the management of ordinary data tables (such as adding, deleting, querying, etc.) Change), graph database knowledge is often abstracted into nodes and relationships, which is easy to reason about, but adding, deleting, checking and modifying in batches consumes a lot of time

Method used

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  • Knowledge graph based on mixed database and construction method thereof
  • Knowledge graph based on mixed database and construction method thereof

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Embodiment 1

[0031] Taking the construction of electromechanical equipment knowledge map as an example, the construction flow chart is as follows: figure 1 shown, including the following steps:

[0032] Step 1: Build the data storage layer: first format the data of the electromechanical system information, and convert it into a json format through entity extraction, relationship extraction, and attribute extraction, that is, extract entities and relationships from the database table through three extraction methods Knowledge elements such as attributes and attributes, and through knowledge fusion, remove the ambiguity between entity referents and entity objects, obtain a series of basic model relationship expressions, use numbers, labels, and attributes to describe, obtain structured information, and store into a relational database;

[0033] Step 2: Build the data storage layer synchronization layer: based on the resource description framework (RDF) principle, the structured information ...

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Abstract

The invention provides a knowledge graph based on a mixed database and a construction method thereof, and belongs to the technical field of knowledge graph construction. According to the knowledge graph constructed by the invention, the characteristics of a relational database are integrated, addition, deletion, query and modification of structured data are facilitated, meanwhile, data are converted into graph data, association of knowledge is stored in a formalized mode, data association is achieved in a graph mode, the association transmission and search efficiency between knowledge is higher than that of table indexes, and therefore, the processing efficiency of the algorithm is greatly improved, and quick reasoning of knowledge is realized.

Description

technical field [0001] The invention belongs to the technical field of knowledge graph construction, and in particular relates to a hybrid database-based knowledge graph and a construction method thereof. Background technique [0002] A knowledge graph is a structured semantic knowledge base for rapidly describing concepts and their interrelationships in the physical world. Through effective processing, processing, and integration of intricate document data, it is transformed into a simple and clear triplet of "entity, relationship, entity", and finally aggregates a large amount of knowledge to achieve rapid knowledge response and reasoning. [0003] At present, knowledge graphs are mostly constructed and stored by relational databases or graph databases. Knowledge graphs based on relational databases usually store knowledge in the form of data rows in the form of tables, and store data relationships in the form of associations between multiple tables. It has the advantages...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/22G06F16/28
CPCG06F16/2291G06F16/288
Inventor 曾亚剑侯晓荣黄方剑
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA