湖北农业科学 ›› 2022, Vol. 61 ›› Issue (15): 249-256.doi: 10.14088/j.cnki.issn0439-8114.2022.15.047

• 经济·管理 • 上一篇    

基于本体的农业综合信息服务平台绩效评价研究

国帅1, 王晓平2, 马於帅1, 司海平1   

  1. 1.河南农业大学信息与管理科学学院,郑州 450046;
    2.河南省金囤种业有限公司,郑州 450000
  • 收稿日期:2021-04-26 出版日期:2022-08-10 发布日期:2022-08-25
  • 通讯作者: 司海平(1978-),男,河南夏邑人,教授,博士,主要从事农业信息化研究,(电话)18638728906(电子信箱)pingsss@126.com。
  • 作者简介:国 帅(1995-),男,河南驻马店人,硕士,研究方向为农业信息技术,(电话)15839619258(电子信箱)631768265@qq.com
  • 基金资助:
    国家科技资源共享服务平台项目(NCGRC-2021-57); 2020年度河南省重大公益专项(201300210300)

Research on performance evaluation of agricultural comprehensive information service platform based on ontology

GUO Shuai1, WANG Xiao-ping2, MA Yu-shuai1, SI Hai-ping1   

  1. 1. College of Information and Management Science,Henan Agricultural University,Zhengzhou 450046, China;
    2. Henan Province Jindun Seed Industry Co.,Ltd,Zhengzhou 450000,China
  • Received:2021-04-26 Online:2022-08-10 Published:2022-08-25

摘要: 首先,从平台资源、用户体验和服务效能3个方面构建了“平台-用户”双向互动式综合绩效评价指标体系,并基于此构建了平台绩效评价本体库。其次,对于指标体系中重要的数据源用户评论,以本体库作为抽象知识,将用户评论中的分词特征项映射到本体库中进行语义相似度计算,实现对用户评论的语义分析与理解,对用户评论中涉及的指标进行数值提取或等级分类,为平台绩效评价提供丰富、精准的用户反馈数据集。最后,利用层次分析法确定绩效评价各指标的权重,并利用加权计算法获得农业综合信息服务平台绩效,以量化评定各省级平台的农业信息服务成效。结果表明,平台资源和用户体验对农业综合信息服务平台绩效影响较大;江苏省、河南省和云南省农业综合信息服务平台绩效分别为3.17、3.25、2.86,经验证本研究评价方法具有实际使用价值。

关键词: 农业综合信息服务平台, 绩效评价, 本体建模, 评价指标

Abstract: Firstly, the “platform user” two-way interactive comprehensive performance evaluation index system was constructed from three aspects of platform resources, user experience and service efficiency, and the platform performance evaluation ontology base was constructed based on this. Secondly, for the important data source user comments in the index system, the ontology base was used as the abstract knowledge to map the word segmentation feature items in the user comments to the ontology base for semantic similarity calculation, so as to realize the semantic analysis and understanding of the user comments, and carry out numerical extraction or hierarchical classification of the indicators involved in the user comments, so as to provide a rich and accurate user feedback data set for the platform performance evaluation. Finally, the weight of each index of performance evaluation was determined by using the analytic hierarchy process, and the performance value of the agricultural comprehensive information service platform was obtained by using the weighted calculation method to quantitatively evaluate the agricultural information service effectiveness of each provincial platform. The results showed that platform resources and user experience had a great impact on the performance of the agricultural comprehensive information service platform. The performance of agricultural comprehensive information service platforms in Jiangsu Province, Henan Province and Yunnan Province were 3.17, 3.25 and 2.86 respectively. Experience has proved that the evaluation method of this study had practical value.

Key words: agricultural comprehensive information service platform, performance evaluation, ontology modeling, evaluating indicator

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