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An urban security data retrieval method based on a knowledge graph

A security data and knowledge map technology, applied in the field of massive data storage and retrieval, can solve the problems of time-consuming, not showing good retrieval performance, and not considering the dynamic changes of the knowledge fragment graph database, etc.

Active Publication Date: 2019-04-02
FUZHOU UNIV
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Problems solved by technology

[0003] However, the disadvantage of the existing technology is that: the current retrieval research of graph databases is based on the algorithm optimization based on the determined starting node, without considering the dynamic changes brought by the arrival of knowledge fragments to the graph database. Determining the starting node under changing data nodes is a very time-consuming task, so the current retrieval methods do not show good retrieval performance in the case of dynamic knowledge changes

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  • An urban security data retrieval method based on a knowledge graph
  • An urban security data retrieval method based on a knowledge graph
  • An urban security data retrieval method based on a knowledge graph

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Embodiment Construction

[0036] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0037] It should be pointed out that the following detailed description is exemplary and is intended to provide further explanation to the present application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0038] It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combina...

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Abstract

The invention relates to an urban security data retrieval method based on a knowledge graph. The characteristics of a Neo4j graph database are utilized to map the urban security knowledge map RDF graph data and continuously flowing knowledge fragments into a graph database; in a distributed environment, when multiple keywords are spread over multiple mutually associated label nodes, the multiple keywords are associated with the multiple mutually associated label nodes. In a label map of interaction, according to the proportion of the instance nodes anchored by the keywords to the key relationship, obtaining the key relationship, According to the method, the label with the highest value is quickly calculated in advance according to the key node and the proportion between the labels, the initial instance node can be determined at the fastest speed from the label, meanwhile, the time for reaching the next hop of key node is shortened, and the database retrieval efficiency of the dynamic change knowledge map is improved.

Description

technical field [0001] The invention relates to the technical field of mass data storage and retrieval under knowledge graphs, in particular to a method for retrieving urban security data based on knowledge graphs. Background technique [0002] Due to the powerful semantic processing ability and open organization ability of knowledge graph, the research and application of large-scale knowledge graph database have attracted enough attention in different fields. In the field of urban safety, with the development of cities, risks and hidden dangers frequently occur, the total number of urban accidents and the number of accident deaths have increased significantly, and accidents are showing a trend of diversification and frequent occurrence. Therefore, scientifically coordinate economic and social development and safety The concept of production is widely respected. In order to timely estimate and evaluate urban risks and hidden dangers, reduce the frequency of accidents, and i...

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Application Information

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IPC IPC(8): G06F16/50G06F16/583
Inventor 汪璟玢卞倩虹
Owner FUZHOU UNIV
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