Agricultural Information Management Data Model Construction Based on Cloud Computing and Semantic Technology

In order to improve the data retrieval and mining ability of agricultural information management system, an agricultural information management data model based on cloud computing and semantic technology was proposed. Fuzzy C-means algorithm is used for adaptive fusion and clustering of semantic ass...

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Main Authors: Chunhang Wang, Zhe An
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Advances in Multimedia
Online Access:http://dx.doi.org/10.1155/2022/9147304
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author Chunhang Wang
Zhe An
author_facet Chunhang Wang
Zhe An
author_sort Chunhang Wang
collection DOAJ
description In order to improve the data retrieval and mining ability of agricultural information management system, an agricultural information management data model based on cloud computing and semantic technology was proposed. Fuzzy C-means algorithm is used for adaptive fusion and clustering of semantic association features of distributed data in large-scale information management systems; feature compressors are used to reduce the storage space dimension of large-scale information management system to improve the target data mining capability and adaptive scheduling capability of information management system. The registration rate improves than the traditional method by 12.46% and computational cost by 23.76%. This method has higher accuracy in storage data mining and retrieval for large information management systems and superior performance than the traditional method. The introduction of the concept and technical methods of related data is the best practice to realize the fine disclosure, standardized description, semantic organization, and in-depth integration of massive agricultural science and technology information resources, which will play an important role in improving the visibility, visibility, and accessibility of agricultural information resources. It is innovative in the construction of the multidimensional semantic-related model and field knowledge service system driven by related data.
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institution Kabale University
issn 1687-5699
language English
publishDate 2022-01-01
publisher Wiley
record_format Article
series Advances in Multimedia
spelling doaj-art-e64607035ff246ac8e2089d78cb9278a2025-02-03T06:05:49ZengWileyAdvances in Multimedia1687-56992022-01-01202210.1155/2022/9147304Agricultural Information Management Data Model Construction Based on Cloud Computing and Semantic TechnologyChunhang Wang0Zhe An1Tangshan Vocational and Technical CollegeTangshan Vocational and Technical CollegeIn order to improve the data retrieval and mining ability of agricultural information management system, an agricultural information management data model based on cloud computing and semantic technology was proposed. Fuzzy C-means algorithm is used for adaptive fusion and clustering of semantic association features of distributed data in large-scale information management systems; feature compressors are used to reduce the storage space dimension of large-scale information management system to improve the target data mining capability and adaptive scheduling capability of information management system. The registration rate improves than the traditional method by 12.46% and computational cost by 23.76%. This method has higher accuracy in storage data mining and retrieval for large information management systems and superior performance than the traditional method. The introduction of the concept and technical methods of related data is the best practice to realize the fine disclosure, standardized description, semantic organization, and in-depth integration of massive agricultural science and technology information resources, which will play an important role in improving the visibility, visibility, and accessibility of agricultural information resources. It is innovative in the construction of the multidimensional semantic-related model and field knowledge service system driven by related data.http://dx.doi.org/10.1155/2022/9147304
spellingShingle Chunhang Wang
Zhe An
Agricultural Information Management Data Model Construction Based on Cloud Computing and Semantic Technology
Advances in Multimedia
title Agricultural Information Management Data Model Construction Based on Cloud Computing and Semantic Technology
title_full Agricultural Information Management Data Model Construction Based on Cloud Computing and Semantic Technology
title_fullStr Agricultural Information Management Data Model Construction Based on Cloud Computing and Semantic Technology
title_full_unstemmed Agricultural Information Management Data Model Construction Based on Cloud Computing and Semantic Technology
title_short Agricultural Information Management Data Model Construction Based on Cloud Computing and Semantic Technology
title_sort agricultural information management data model construction based on cloud computing and semantic technology
url http://dx.doi.org/10.1155/2022/9147304
work_keys_str_mv AT chunhangwang agriculturalinformationmanagementdatamodelconstructionbasedoncloudcomputingandsemantictechnology
AT zhean agriculturalinformationmanagementdatamodelconstructionbasedoncloudcomputingandsemantictechnology