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An automatic construction method for a big data knowledge graph in the field of public security

A technology in the field of public security and knowledge graph, applied in the field of automated construction, it can solve the problem of lack of mature technology in knowledge graph, and achieve the effect of improving integrity

Active Publication Date: 2019-05-03
INSPUR SOFTWARE CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there is still no mature technology on how to construct knowledge graphs in the field of public security.

Method used

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  • An automatic construction method for a big data knowledge graph in the field of public security
  • An automatic construction method for a big data knowledge graph in the field of public security
  • An automatic construction method for a big data knowledge graph in the field of public security

Examples

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Embodiment 1

[0036] combined with figure 1 , this embodiment proposes an automatic construction method for big data knowledge graphs in the field of public security, and its implementation process includes:

[0037]Step 1: Establish a standard system according to the fields involved in public security to ensure that the integration of multi-source heterogeneous data and deep intelligent mining have rules to follow. Among them, public security involves metadata specifications, data element standards, ontology models, and data classification There are seven parts of classification specification, label classification system, knowledge storage, map exchange and sharing specification, and establish a standard system for each part;

[0038] Step 2: Establish Entity-Mapping, an entity mapping library in the public security field, through MongoDB and Redis, and store the main attributes of entities, such as unique IDs and entity association IDs, in the MongoDB database through the Entity-Mapping e...

Embodiment 2

[0050] combined with figure 2 , this embodiment proposes an automatic construction method for big data knowledge graphs in the field of public security, and its implementation process includes:

[0051] Step 1: Establish a standard system according to the fields involved in public security to ensure that the integration of multi-source heterogeneous data and deep intelligent mining have rules to follow. Among them, public security involves metadata specifications, data element standards, ontology models, and data classification There are seven parts of classification specification, label classification system, knowledge storage, map exchange and sharing specification, and establish a standard system for each part;

[0052] Step 2: Establish Entity-Mapping, an entity mapping library in the public security field, through MongoDB and Redis, and store the main attributes of entities, such as unique IDs and entity association IDs, in the MongoDB database through the Entity-Mapping...

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Abstract

The invention discloses an automatic construction method for a big data knowledge graph in the public security field, relates to the technical field of data mining and artificial intelligence, and comprises the following steps: firstly, establishing a standard system for the public security field, and then establishing an Entity-mapping library in the public security field; storing the main attributes of the entities into a file storage database; pushing the data to a memory storage database, carrying out automatic series connection on fragmented entities, abstracting the data into three categories of entities, relations and events after the previous preparation work is finished, and sequentially finishing automatic construction of the public security field knowledge map by virtue of machine learning and deep learning services through knowledge modeling, knowledge extraction and entity fusion; Besides, the automatic construction capability is realized, the quality control and optimization of the knowledge graph are carried out, the public security field search intention analyzer is constructed, the intelligent recommendation of the user search is promoted, and the efficiency of obtaining effective information by the user search is improved.

Description

technical field [0001] The invention relates to the technical fields of data mining and artificial intelligence, in particular to an automatic construction method for big data knowledge graphs in the field of public security. Background technique [0002] The development of information technology is constantly promoting the transformation of Internet technology. Search engines have become an indispensable tool for people to search for massive information because they narrow the scope for users to find information. [0003] The concept of knowledge graph was first proposed by Google in 2012. Google wanted to build a new generation of intelligent search engine based on the knowledge graph project. The idea of ​​the search engine is to obtain entities and attribute information of various types of knowledge from web pages, as well as the relationship between entities, so as to establish a semantic network of knowledge. Traditional search engines are all based on string searches...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/28
Inventor 李存冰
Owner INSPUR SOFTWARE CO LTD
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