基于数据耕耘的智能咨询服务模型构建研究
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摘要
为提高智能咨询服务高效处理复杂咨询问题的能力,文章构建了基于数据耕耘的智能咨询服务过程模型。该模型将数据耕耘方法的典型迭代过程应用于智能咨询体系框架中,细化了人机接口模块、咨询处理模块和知识管理模块的功能与流程。基于数据耕耘的智能咨询处理过程能够结合数学解析和知识推理的优势,在种植大量多元化数据的基础上,探寻最优的咨询方案,提高用户对智能咨询服务的满意度。
In order to improve the ability of intelligent consulting service to deal with complex consulting problems efficiently,this paper constructs a process model of intelligent consulting service based on data farming.The model applies the typical iterative process of the data farming to the framework of the intelligent consulting system,and refines the functions and processes of human-computer interaction module,consulting processing module and knowledge management module.The intelligent consulting process based on data farming can combine the advantages of mathematical analysis and knowledge reasoning,explore the optimal consulting solutions on the basis of planting a large number of diversified data,and improve user satisfaction with intelligence consulting services.
In order to improve the ability of intelligent consulting service to deal with complex consulting problems efficiently,this paper constructs a process model of intelligent consulting service based on data farming.The model applies the typical iterative process of the data farming to the framework of the intelligent consulting system,and refines the functions and processes of human-computer interaction module,consulting processing module and knowledge management module.The intelligent consulting process based on data farming can combine the advantages of mathematical analysis and knowledge reasoning,explore the optimal consulting solutions on the basis of planting a large number of diversified data,and improve user satisfaction with intelligence consulting services.
引文
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[14]Shi H,Yu Z,Li W.Research on Synthetic Decision Support Technology Based on Data Farming[C].Beijing:International Conference on Space Information Technology,2009.
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[16]陈蓓蓉.社交网络环境下基于数据耕耘的用户兴趣演化研究[D].广州:华南理工大学,2018.
[17]马费成.情报学发展的历史回顾及前沿课题[J].图书情报知识,2013(2):4-12.
[18]张兴旺.数据耕耘理论及其大数据知识服务视角解读[J].情报资料工作,2015(3):53-57.
[19]胥伟岚,夏南强,陆俊.数据耕耘理论下跨学科协同信息咨询服务模式研究[J].图书馆学研究,2016(22):64-68.
[20]Home G E,Meyer T E.Data Farming:Discovering Surprise[C].Proceedings of the 37th Conference on Winter Simulation.Winter Simulation Conference,2005.
[21]侯力铁,李贺,袁翠敏.基于本体的移动图书馆用户情景模型构建研究[J].图书馆学研究,2018(3):35-40.
[22]Krol D,Kryza B,Wrzeszcz M,et al.Elastic Infrastructure for Interactive Data Farming Experiments[J].Procedia Computer Science,2012(9):206-215.
[23]陈森发.复杂系统建模理论与方法[M].南京:东南大学出版社,2005.
[24]Tolk A.The Next Generation of Modeling & Simulation:Integrating Big Data and Deep Learning[C].Proceedings of the Conference on Summer Computer Simulation.Society for Computer Simulation International,2015.
[2]潘鹏程.图书馆智能咨询系统模型构建[J].图书馆学研究,2010(12):82-84.
[3]张晓林,黄影,黄学军,等.基于网络的交互式智能化咨询服务机制[J].情报理论与实践,2001(3):217-219,202.
[4]胡朝明.基于分词技术提升虚拟参考咨询系统智能服务[J].图书情报工作,2012(9):110-113.
[5]孙翌,李鲍,曲建峰.图书馆智能化IM咨询机器人的设计与实现[J].现代图书情报技术,2011(5):88-92.
[6]Ebrahimi A P ,Ashlaghi A T ,Rad M M .A Novel AIDS/HIV Intelligent Medical Consulting System Based on Expert Systems[J].Journal of Education & Health Promotion,2013,2(1):54.
[7]Lin E Y,Yang D L,Hung M C.System Design of an Intelligent Nutrition Consultation and Recommendation Model[C].Japan:International Conference on Ubiquitous Intelligence & Computing & International Conference on Autonomic & Trusted Computing.IEEE,2012.
[8]唐晓波,魏巍.基于文本与 Web 语义分析的智能咨询服务模式及体系架构研究[J].情报科学,2016(11):111-114.
[9]Brandstein A,Horne G.Data Farming:A Meta-Technique for Research in the 21st Century[C].Maneuver Warfare Science,1998,93-99.
[10]Horne G E,Meyer T E.Data Farming:Discovering Surprise[C].Washington:Proceedings of the 36th Conference on Winter Simulation.Winter Simulation Conference,2004.
[11]Gary H ,Klaus-Peter S .Summary of Data Farming[J].Axioms,2016,5(1):8.
[12]胡晓峰,杨镜宇,胡润涛.数据耕耘:一种基于协同的探索性仿真分析方法[J].系统仿真学报,2007(7):1651-1655.
[13]Wang Z.The Evaluation Method for Operation Efficiency of Equipment System Based on Data Farming and Mining[C].ITM Web of Conferences.EDP Sciences,2017.
[14]Shi H,Yu Z,Li W.Research on Synthetic Decision Support Technology Based on Data Farming[C].Beijing:International Conference on Space Information Technology,2009.
[15]Meyer-Nieberg S,Zsifkovits M,Hauschild D,et al.Simulation-Based Analyses for Critical Infrastructure Protection:Identifying Risks by Using Data Farming[M].Operations Research Proceedings 2015.Springer,Cham,2017:349-354.
[16]陈蓓蓉.社交网络环境下基于数据耕耘的用户兴趣演化研究[D].广州:华南理工大学,2018.
[17]马费成.情报学发展的历史回顾及前沿课题[J].图书情报知识,2013(2):4-12.
[18]张兴旺.数据耕耘理论及其大数据知识服务视角解读[J].情报资料工作,2015(3):53-57.
[19]胥伟岚,夏南强,陆俊.数据耕耘理论下跨学科协同信息咨询服务模式研究[J].图书馆学研究,2016(22):64-68.
[20]Home G E,Meyer T E.Data Farming:Discovering Surprise[C].Proceedings of the 37th Conference on Winter Simulation.Winter Simulation Conference,2005.
[21]侯力铁,李贺,袁翠敏.基于本体的移动图书馆用户情景模型构建研究[J].图书馆学研究,2018(3):35-40.
[22]Krol D,Kryza B,Wrzeszcz M,et al.Elastic Infrastructure for Interactive Data Farming Experiments[J].Procedia Computer Science,2012(9):206-215.
[23]陈森发.复杂系统建模理论与方法[M].南京:东南大学出版社,2005.
[24]Tolk A.The Next Generation of Modeling & Simulation:Integrating Big Data and Deep Learning[C].Proceedings of the Conference on Summer Computer Simulation.Society for Computer Simulation International,2015.