Method for Retrieving Digital Agricultural Text Information Based on Local Matching

Yue Song,Minjuan Wang,Wanlin Gao

doi:10.3390/sym12071103

Abstract

In order to improve the retrieval results of digital agricultural text information and improve the efficiency of retrieval, the method for searching digital agricultural text information based on local matching is proposed. The agricultural text tree and the query tree are constructed to generate the relationship of ancestor–descendant in the query and map it to the agricultural text. According to the retrieval method of the local matching, the vector retrieval method is used to calculate the digital agricultural text and submit the similarity between the queries. The similarity is sorted from large to small so that the agricultural text tree can output digital agricultural text information in turn. In the case of adding interference information, the recall rate and precision rate of the proposed method are above 99.5%; the average retrieval time is between 4s and 6s, and the average retrieval efficiency is above 99%. The proposed method is more efficient in information retrieval and can obtain comprehensive and accurate search results, which can be used for the rapid retrieval of digital agricultural text information.

Highlights

With the rapid development of digital agricultural information management technology, intelligent agricultural information technology has become the research hotspot in agricultural informationization.Digital agricultural texts have more and more information
According to the local matching retrieval method, the vector retrieval method is used to calculate the similarity between digital agricultural texts and submit queries
Agricultural information retrieval method based on dual semantic space Agricultural information retrieval method based on maximum weight matching calculation

Summary

Introduction

With the rapid development of digital agricultural information management technology, intelligent agricultural information technology has become the research hotspot in agricultural informationization. Digital agricultural texts have more and more information. How to obtain comprehensive and accurate information in massive information becomes a problem [1]. Agricultural information resources on the Internet are dynamic and unstable [2]. Understanding the characteristics of agricultural network information is beneficial for workers to purposefully collect and manage Internet information resources. The characteristics of agricultural network information are: first, the content of information is diversified. Agricultural network information resources are large-scale and widely distributed

Methods

Results

Discussion

Conclusion