An agricultural industry innovation service atlas construction system

Abstract

The invention discloses an agricultural industry innovation service atlas construction system. The system is based on an agricultural industry language, a full industrial chain knowledge service system and an auxiliary big data analysis decision construction system. The system comprises a data layer, an intermediate layer and an application layer, The data layer is used for storing data and sending the data to the middle layer; The intermediate layer is used for uniformly managing the data indexes, calling the data according to needs, accurately analyzing and intelligently interpreting the data, and automatically generating an agricultural industry report; And the application layer is used for understanding the natural language, performing reasoning analysis and man-machine interaction, and quickly outputting a precise answer expressed in a natural language form for a question of a user. According to the invention, through knowledge fusion, the integrity and relevance of industrial knowledge are deeply mined, and the multi-dimensional semantic relationship between all links of the industry and the whole industry chain is disclosed, so that the purposes of machine understanding andintelligent interpretation are achieved.

Description

technical field [0001] The invention relates to the technical field of agricultural industry maps, in particular to an agricultural industry innovation service map construction system. Background technique [0002] More and more industries or enterprises have accumulated large-scale big data, but these data have not exerted their due value, and a lot of big data still need to consume a lot of operation and maintenance costs. Instead of creating value, big data has become a negative asset in many cases. The fundamental reason for this phenomenon is that the current machines lack background knowledge such as knowledge graphs, and the means for machines to understand big data are limited, which limits the precise and detailed analysis of big data, thus greatly reducing the potential value of big data. [0003] As an important knowledge representation method in the era of big data, knowledge graph makes machine language cognition possible. The essence of knowledge graph is a l...

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Problems solved by technology

[0004] The knowledge map has gradually developed into a refined domain knowledge map. In the agricultural field, big data plays an important role in the monitoring of the Internet of Things, agricultural monitoring, output forecasting, market forecasting, industrial planning, etc. , is highly affected by compound factors such as climate, water and fertilizer, machinery, farming system, and man-made, and it is not yet possible to achieve precise and refined analysis. There is an urgent need for a method that can comprehensively consider multiple influencing factors to achieve accurate prediction of industrial big data and intelligently serve agricultural production. A technology or system that provides a solution to a problem

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