Method and device for constructing knowledge graph for crop variety management

Abstract

The invention provides a method and device for constructing a knowledge graph for crop variety management. The method includes: constructing a field ontology for crop variety management according to a subject word dictionary for crop variety management; acquiring corresponding crop variety management data according to the field ontology, and Knowledge extraction is performed on the variety management data; the extracted knowledge is represented by triples, and a composite index is established; the triples are expanded through knowledge reasoning; according to user interest characteristics, user input behavior characteristics and browsing behavior characteristics, The compound index searches the triplet data set, and generates a different knowledge graph data display interface for each user. The method reduces the degree of manual participation in the process of knowledge graph construction, improves the level of automated construction, helps to solve the problems of low efficiency, low degree of automation, and poor scalability in the construction of knowledge graphs for crop variety management, and provides intuitive and convenient knowledge organization, management and presentation.

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 (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, the 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. ...

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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