Knowledge graph construction method and device for crop variety management

Abstract

The invention provides a crop variety management-oriented knowledge graph construction method and device. The method comprises the steps of constructing a field ontology of crop variety management according to a subject term dictionary of crop variety management; according to the domain ontology, obtaining corresponding crop variety management data, and performing knowledge extraction on the variety management data; expressing the extracted knowledge by adopting a triple, and establishing a composite index; expanding the triple through knowledge reasoning; and according to the user interest characteristics, the user input behavior characteristics and the browsing behavior characteristics, searching the triple data set based on the composite index, and generating different knowledge graph data display interfaces for each user. According to the method, the manual participation degree in the knowledge graph construction process is reduced, the automatic construction level is improved, the problems of low efficiency, low automation degree, poor expansibility and the like in the crop variety management knowledge graph construction process are solved, and a visual and convenient knowledge organization, management and display mode is provided.

Description

technical field [0001] The invention relates to the field of intelligent agricultural information processing, in particular to a method and device for constructing a knowledge graph for crop variety management. Background technique [0002] The concept of Knowledge Graph was first formally proposed by Google in the United States in 2012. A knowledge graph is a semantic network graph consisting of a series of nodes and edges. By describing the relationship between entities, the multi-source heterogeneous knowledge in the field can be semantically fused. Therefore, knowledge graph provides a new and effective way for the expression, organization, management and utilization of massive, heterogeneous and dynamic big data in the Internet era, and improves the intelligence level of domain knowledge management. At present, knowledge graph has been widely used in intelligent search, automatic question answering, information recommendation and other fields. [0003] In recent year...

AI Technical Summary

Problems solved by technology

However, the traditional knowledge map construction method that relies entirely on manual work is time-consuming and labor-intensive.

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