Method and device for constructing knowledge graph in field of Pu'er tea

Abstract

The invention discloses a Pu'er tea field knowledge graph construction method and device, and relates to the technical field of Pu'er tea, and the method comprises the steps: building a Pu'er tea field first-layer knowledge ontology classification model; establishing a Pu'er tea field second-layer knowledge ontology classification model; and establishing a Pu'er tea field knowledge entity model associated with the first-layer knowledge ontology classification model and the second-layer knowledge ontology classification model for constructing the Pu'er tea field knowledge graph. According to the method, a construction mode of expanding from the center to the periphery is adopted, two-level knowledge ontology classification is performed on the Pu'er tea field knowledge, an entity model is extracted in combination with a knowledge ontology classification model feature word library, and the entity model is associated with a knowledge ontology classification model to form the Pu'er tea field knowledge graph. By adopting the method, the complex relationship between the entity models can be managed in a classified manner through the knowledge ontology, the dependence on professionals in the incremental knowledge extraction process is reduced, and the knowledge modeling accuracy is improved.

Description

technical field [0001] The invention relates to the technical field of Pu'er tea, in particular to a method and device for constructing a knowledge map in the field of Pu'er tea. Background technique [0002] Knowledge Graph describes concepts, entities and their relationships in the objective world in a structured form, and expresses Internet information in a form closer to the human cognitive world, providing a better way to organize, manage and understand the Internet. The capacity of massive amounts of information. The main technologies of knowledge graph include seven aspects: knowledge acquisition, knowledge representation, knowledge storage, knowledge modeling, knowledge fusion, knowledge understanding, knowledge operation and maintenance, etc., by constructing knowledge graph for structured, semi-structured and unstructured data for different Field applications provide support. [0003] The knowledge graph is a grand data model that can build a huge "knowledge" net...

AI Technical Summary

Problems solved by technology

From the current situation of the entire Puer tea industry chain, all kinds of knowledge and information involved in the whole cycle of Puer tea from planting, primary production, finishing, deep processing, product sales, commodity circulation and use are scattered among various processing enterprises, sales Among objects such as circulation enterprises, scientific research institutes, universities and end users, the comprehensive utilization rate of data information is low

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