Data storage and intelligent construction method and implementation system of knowledge map

Abstract

The invention provides a knowledge graph data storage method, an intelligent construction method and an implementation system thereof. The intelligent construction method of the knowledge graph comprises the steps that A1, acquiring service demand content; A2, analyzing a service demand purpose of the service demand content; A3, analyzing a keyword in the service demand purpose; A4, matching itemnode information data in the attribution structure directory domain, the keyword domain and the label domain according to the keywords; A5, distinguishing the obtained item node information data according to different matching perspectives, and dividing the item node information data into a structure node directory data set, a keyword node directory set and a label node directory set; and A6, clustering the corresponding node directory set, and constructing a corresponding knowledge graph. The intelligent construction method and the implementation system provided by the invention, the purposeof personalized data intelligent construction is achieved on the basis of data logic relationship construction among multiple professions.

Description

technical field [0001] The present invention relates to the field of big data technology, in particular to a method for data storage and intelligent construction of a knowledge map and an implementation system. Background technique [0002] Knowledge graph (Knowledge Graph) is a kind of knowledge domain visualization or knowledge domain mapping map. It is a series of different graphics showing the knowledge development process and structural relationship. Data, decision analysis, construction Mapping and displaying knowledge and their interrelationships. In the railway industry, the application of the knowledge map of railway operation resources is mainly for the construction of event representation and related matters, and thematic nodes can be freely set for intelligent expansion analysis. By focusing on an item in the knowledge map, you can discover the basic information of the item, as well as the nodes of each event under the item and their connection relationship. ...

AI Technical Summary

Problems solved by technology

The disadvantage of the existing technology is that based on the railway industry, the determination of the specific attributes of different professional matters requires the intervention of professionals, but it cannot be handled efficiently by manpower alone, and the standards also have their own subjective factors.

According to a unified specification, although the relationship between keywords in the text can be recognized, it is prone to misjudgment for relationship extraction such as noun apposition

In addition, this method cannot effectively process and judge the nouns that have not been collected

[0005] 2. The existing knowledge map attribute extraction of the railway industry cannot realize automatic correlation analysis and reasoning between texts, and realize point-to-point self-adaptive learning and relationship establishment intelligently based on business requirements.

[0006] 3. The construction of the knowledge map of the existing railway operation resources requires business personnel to define and classify the overall items, resulting in a long process of map construction and insufficient flexibility in expansion

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