基于用户需求的多维农业信息分类模型研究——以湖南省油菜网络信息为例
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摘要
为了帮助用户快速检索到所需农业信息,结合用户对农业信息需求的特征,提出了改进的农业信息多维分类模型,并从信息高效存储和处理的角度提出了基于OLAP的多维农业信息分类模型设计方案,最后以湖南油菜网络信息为例,进行实验数据采集与信息分类,实现多维农业分类信息的存储结构。结果表明:(1)随机采集获得的网络农业信息可以通过改进的多维农业信息分类模型来有效表达;(2)行业维度、时间维度、地域维度、形式维度具有客观性,信息属性维度、产业链维度、信息内容维度具有主观性;(3)某些信息在某些维度上没有数据或者无法确定取值时,用空值表示;(4)知识型信息大部分在时间维度和空间维度上没有数据。多维农业信息分类模型可以从每个维度查看数据,也可以抽取不同维度组合进行数据深度分析,为农业信息个性化推送服务奠定了重要基础。实验中实现了多维农业信息的存储结构,是后续农业信息的数据分析、维度优化等工作的必要前提和基础。
In order to help users to quickly retrieve agricultural information, a multidimensional classificationmodel of agricultural information was designed according to the new characteristics of the users' demand foragricultural information. Then the multidimensional classification model scheme based on OLAP was also putforward from the perspective of information efficient storage and processing. Finally Hunan rape networkinformation was taken as an example to collect experiment data and classify the correlative information torealize the storage structure of agricultural information classification based on OLAP. Experimental resultsshowed that:(1) the improved multidimensional model of agricultural information classification could moreeffectively express the information collected randomly from agricultural network;(2) the dimensions ofindustry, time, region and form were objective, and the dimensions of information attribution, industrial chainand information content were subjective;(3) empty value"null"could be used to express the value when the information was not determined or there was no data in the dimension;(4) agricultural science and technologyinformation had no data in time and space dimension. OLAP multidimensional agricultural informationclassification model designed in this paper could not only view relevant data from each dimension, but alsoextract data from different dimensions to analyze in depth, which laid an important foundation for personalizedagricultural information push service. Realization of multidimensional agricultural information storagestructure was necessary for data analysis and dimension optimization in follow- up agricultural informationwork.
In order to help users to quickly retrieve agricultural information, a multidimensional classificationmodel of agricultural information was designed according to the new characteristics of the users' demand foragricultural information. Then the multidimensional classification model scheme based on OLAP was also putforward from the perspective of information efficient storage and processing. Finally Hunan rape networkinformation was taken as an example to collect experiment data and classify the correlative information torealize the storage structure of agricultural information classification based on OLAP. Experimental resultsshowed that:(1) the improved multidimensional model of agricultural information classification could moreeffectively express the information collected randomly from agricultural network;(2) the dimensions ofindustry, time, region and form were objective, and the dimensions of information attribution, industrial chainand information content were subjective;(3) empty value"null"could be used to express the value when the information was not determined or there was no data in the dimension;(4) agricultural science and technologyinformation had no data in time and space dimension. OLAP multidimensional agricultural informationclassification model designed in this paper could not only view relevant data from each dimension, but alsoextract data from different dimensions to analyze in depth, which laid an important foundation for personalizedagricultural information push service. Realization of multidimensional agricultural information storagestructure was necessary for data analysis and dimension optimization in follow- up agricultural informationwork.
引文
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[19]Nikkil R,Seilonen I,Koskinen K.Software architecture for farm management information systems in precision agriculture[J].Computers and Electronics in Agriculture,2010,70(2):328-336.
[20]张峻峰,罗长寿,孙素芬,魏清凤.网络农业信息标准化问题思考[J].中国农学通报,2011,27(1):461-465.
[21]秦志翔,牟兰,闫祎.基于OLAP的船舶噪声数据模型[J].舰船科学技术,2013,35(1):86-92.
[22]杨功元,罗晓东,李欣.新疆涉农信息数据标准研究与制定[J].农业网络信息,2012(6):94-97.
[23]严任远.基于数据仓库的企业OLAP多维模型的设计与实现[J].情报杂志,2006(9):31-33.
[24]Sorensen C G,Pesonen L,Bochtis D D,et al.Functional requirements for a future farm management information system[J].Computers and Electronics in Agriculture,2011,76(2):266-276.
[25]Ntaliani M,Costopoulou C,Karetsos S,et al.Agricultural egovernment services:An implementation framework and case study[J].Computers and Electronics in Agriculture,2010,70(2):337-347.
[2]牛振国,崔伟宏,符海芳.面向多层用户的农业信息分类初步研究[J].计算机与农业,2003(3):41-43.
[3]郭书普.网络农业信息分类和编码的研究[J].农业图书情报学刊,2003(6):139-141.
[4]王建,甘国辉.多维农业信息分类体系[J].农业工程学报,2004,20(4):152-156.
[5]郑可峰,李志凌,祝利莉.网络农业科技信息分类和编码的初步研究[J].浙江农业学报,2005,17(4):187-190.
[6]李志凌,郑可峰,祝利莉.网络农业信息分类和编码的研究[J].农业网络信息,2006(1):55-58.
[7]骆浩文,曾志康.基于网络的农业科技信息分类编码标准体系研究与应用[J].农业图书情报学刊,2007,19(3):150-154.
[8]严方.试论互联网农业信息分类的原则和方法[J].安徽农业科技,2007,35(22):7000-7001.
[9]邱荣洲,赵健,池美香.数字农业信息分类体系研究[J].农业网络信息,2010(11):17-19.
[10]俞新凯,李斌,毛敏.基于网状结构的农业信息分类[J].现代农业科技,2011(3):47-49.
[11]施静,肖友国,魏太亮,等.10年来我国农民信息需求特征及其影响因素研究:回顾与反思[J].安徽农业科学,2013,41(7):3220-3222,3232.
[12]刘爱英.农业信息分类及河北省供给模式的探究[J].河北经贸大学学报,2010,31(4):93-96.
[13]Wu L.An Empirical Research on Poor Rural Agricultural Information Technology Services to Adopt[J].Procedia Engineering,2012,29:1578-1583.
[14]谢新洲,金学慧.网络信息资源分类研究述评[J].情报杂志,2012,31(2):141-147.
[15]Nash E,Dreger F,Schwarz J,et al.Development of a model of dataflows for precision agriculture based on a collaborative research project[J].Computers and Electronics in Agriculture,2009,66(1):25-37.
[16]李博识,罗政峰.我国农业涉农信息适用性现状分析及改善建议[J].现代农业科技.2012(11):308-311.
[17]徐刚,陈天恩,陈立平,等.基于ARIS的农业信息采集平台需求分析方法[J].农业工程学报,2009,25(8):136-140.
[18]王健,王志强,周艳兵.面向协同计算的农业信息元数据研究与实现[J].农业工程学报,2008,24(9):1-6.
[19]Nikkil R,Seilonen I,Koskinen K.Software architecture for farm management information systems in precision agriculture[J].Computers and Electronics in Agriculture,2010,70(2):328-336.
[20]张峻峰,罗长寿,孙素芬,魏清凤.网络农业信息标准化问题思考[J].中国农学通报,2011,27(1):461-465.
[21]秦志翔,牟兰,闫祎.基于OLAP的船舶噪声数据模型[J].舰船科学技术,2013,35(1):86-92.
[22]杨功元,罗晓东,李欣.新疆涉农信息数据标准研究与制定[J].农业网络信息,2012(6):94-97.
[23]严任远.基于数据仓库的企业OLAP多维模型的设计与实现[J].情报杂志,2006(9):31-33.
[24]Sorensen C G,Pesonen L,Bochtis D D,et al.Functional requirements for a future farm management information system[J].Computers and Electronics in Agriculture,2011,76(2):266-276.
[25]Ntaliani M,Costopoulou C,Karetsos S,et al.Agricultural egovernment services:An implementation framework and case study[J].Computers and Electronics in Agriculture,2010,70(2):337-347.