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Establishment method and graphical query method of enterprise knowledge map based on graph model

A technology of knowledge map and establishment method, which is applied in the establishment method and query field of enterprise knowledge map based on graph model, which can solve the problems of application difficulty and poor performance of time complexity, and achieve the effect of efficient query

Inactive Publication Date: 2018-05-15
上海斯睿德信息技术有限公司 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the practical application of this algorithm is difficult. When dealing with complex graphs with a large number of nodes and edges, it does not perform well in terms of time complexity.

Method used

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  • Establishment method and graphical query method of enterprise knowledge map based on graph model
  • Establishment method and graphical query method of enterprise knowledge map based on graph model
  • Establishment method and graphical query method of enterprise knowledge map based on graph model

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0049] When adding the association relationship of a group of enterprises, first enter the map data of each dimension of the enterprise into the topology structure. The graph data of the enterprise includes: institution name, its legal representative, investor, debt or creditor, branch, supply chain relationship, litigation relationship, guarantee, public opinion citation, document citation, etc. During the data entry process, the relational entities are recorded in the nodes of the graph data model, the relationships between entities are recorded in the edges, and the characteristics of the entities themselves are recorded in the node attributes.

[0050]Then, based on the real-time acquired data, the entity and the relationship between entities are extracted through semantic analysis technology to form an event with time, entity, and relationship as the main elements. Finally, by matching the characteristics of the entity itself in the stock database, the unstructured indust...

Embodiment 2

[0077] The present invention preferably queries all natural persons or institutions directly related to a single enterprise.

Embodiment 3

[0079] In the present invention, preferably, according to two enterprises, all associations between the two enterprises within a specified step are queried.

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Abstract

The invention discloses an establishment method of enterprise knowledge map based on a graph model. The method comprises the following steps that model establishment step: a graph data model is built,the graph data model comprises a graph data structure module, a graph mining algorithm module and a query interface module; data record step: each dimension data of a sample enterprise is obtained, according to the graph data model, dimension data such as shareholders, external investment, public opinion, judicial and the like of the enterprise is recorded in the graph data structure module; encapsulation step: according to common application scenarios, the graph mining algorithm is encapsulated into the query interface module, and a relational graph model is returned in a JSON format. The invention further discloses a graphical query method based on the graph model.

Description

technical field [0001] The invention belongs to the field of computer technology, and in particular relates to a method for establishing an enterprise knowledge map and a query method based on a graph model. Background technique [0002] The graph data model uses graphs to store data, which is one of the closest high-performance data structure methods for storing data. A graph consists of countless nodes and relationships. The simplest graph is a single node, a record, and records some attributes. A node can contain several attributes, and it makes sense to connect the data with relationships and distribute them to different nodes. Relationships organize nodes into arbitrary structures, allowing a graph to be organized into a list, a map, or a complex entity composed of highly related structures. However, the existing graph data model usually only establishes and expresses the relationship between two nodes, which cannot satisfy the structure and difficulty of expressing t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06Q10/10
CPCG06F16/9024G06Q10/10
Inventor 廖辰瀚
Owner 上海斯睿德信息技术有限公司
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