基于本体的突发事件网络舆情案例推理模型
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摘要
[目的/意义]将本体技术应用于网络舆情案例推理的过程中,可以将案例库中的案例结构进行规范,提高了案例知识的可重用性。通过构建网络舆情案例推理模型将本体与案例推理相结合,对于政府有效应对突发事件网络舆情具有重要的理论意义和现实意义。[方法/过程]在案例本体构建的基础上,提出突发事件网络舆情案例推理模型,经历案例检索、案例重用、案例修正、案例保存四个主要推理环节,通过构建的案例相似度匹配模型,输出与解决问题案例相似度较高的样本案例,得出解决方案。[结果/结论]以案例本体库和方法模型库为基础的本体模型,优化了案例推理过程,提高了知识的可重用性,为决策人员推荐解决方案提供思路。
[Purpose/Significance]This paper applies ontology technology to the process of case-based reasoning of network public opinion,can standardize the case structure in the case base,and improves the reusability of case knowledge. This paper combines ontology with case-based reasoning by constructing a case-based reasoning model of network public opinion,has important theoretical and practical significance for the government to effectively respond to the network public opinion of emergencies.[Method/Process]Based on the construction of case ontology,this paper puts forward the system framework of case-based reasoning for network public opinion of emergencies through four main reasoning steps: case retrieval,case reuse,case revision and case preservation,completing case similarity of output and problem solving Higher sample case solution.[Result/Conclusion]The ontology model based on the case ontology and the method model base optimizes the process of case inference,provides the reusability of knowledge and provides ideas for decision makers to recommend solutions.
[Purpose/Significance]This paper applies ontology technology to the process of case-based reasoning of network public opinion,can standardize the case structure in the case base,and improves the reusability of case knowledge. This paper combines ontology with case-based reasoning by constructing a case-based reasoning model of network public opinion,has important theoretical and practical significance for the government to effectively respond to the network public opinion of emergencies.[Method/Process]Based on the construction of case ontology,this paper puts forward the system framework of case-based reasoning for network public opinion of emergencies through four main reasoning steps: case retrieval,case reuse,case revision and case preservation,completing case similarity of output and problem solving Higher sample case solution.[Result/Conclusion]The ontology model based on the case ontology and the method model base optimizes the process of case inference,provides the reusability of knowledge and provides ideas for decision makers to recommend solutions.
引文
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[3]李晓瑛,李军莲,冀玉静,等.基于叙词表及其语义关系的本体构建研究[J].情报科学,2018(11):83-87.
[4]张骐,向阳,罗成,等.基于本体的中文案例相似度计算方法[J].情报科学,2014(11):77-81.
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[6]李志义,李德惠,赵鹏武.电子商务领域本体概念及概念间关系的自动抽取研究[J].情报科学,2018(7):85-90
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[12]Rashedi E,Nezamabadi-Pour H,Saryazdi S.Long term learning in image retrieval systems using case based reasoning[J].Engineering Applications of Artificial Intelligence,2014,35(10):26-37.
[13]张双狮,兰月新,刘冰月,等.基于案例推理的群体性事件智能决策支持WEB系统研究[J].情报杂志,2017,36(4):106-111.
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[16]蔡玫,曹杰,于小兵.基于应急实例本体模型的应急案例推理方法[J].情报杂志,2016,35(6):183-188.
[17]李慧嘉,贾传亮,佘廉.基于本体关联网络的非常规突发事件案例快速提示方法[J].运筹与管理,2017(12):68-76.
[18]付业勤,郑向敏,郑文标,等.旅游危机事件网络舆情的监测预警指标体系研究[J].情报杂志,2014(8):184-189.
[19]李文杰,化存才,何伟全,等.网络舆情信息的综合评价指标体系构建与模糊评判模型[J].情报科学,2015(9):93-99.
[20]靳晓宏,王强,付宏,等.主题事件舆情指数的构建及实证研究---以食品安全主题为例[J].情报理论与实践,2016,39(12):103-108.
[21]田进,朱利平,曾润喜.网络舆情交互触发演变特征及政策议题建构效果---基于系列“PX事件”的案例研究[J].情报杂志,2016,35(2):133-138.
[22]杜洪涛,王君泽,李婕.基于多案例的突发事件网络舆情演化模式研究[J].情报学报,2017,36(10):1038-1049.
[23]王洪华,李锦兰.地方政府应对网络舆情危机的成功案例分析[J].现代情报,2014,34(9):153-157.
[24]原光.“涉官”网络舆情中政府回应速度差异与影响因素分析---基于136个案例的实证研究[J].情报杂志,2018(9):86-94.
[25]黄扬,李伟权.网络舆情推动下的网约车规制政策变迁逻辑---基于多源流理论的案例分析[J].情报科学,2018(8):84-91.
[26]L Mc Ginty,D C Wilson.Case-based reasoning research and development[C].8th International Conference on Case-Based Reasoning,Springer,Seattle,WA,2009:274-288.
[2]Corcho,Gómez-Pérez A.A roadmap to ontology specification languages[C].European Workshop on Knowledge Acquisition,Modeling and Management.Springer-Verlag,2000:80-96.
[3]李晓瑛,李军莲,冀玉静,等.基于叙词表及其语义关系的本体构建研究[J].情报科学,2018(11):83-87.
[4]张骐,向阳,罗成,等.基于本体的中文案例相似度计算方法[J].情报科学,2014(11):77-81.
[5]崔晓兰,蔡淑琴,冯进展.基于本体的通信服务网络抱怨案例相似度计算[J].系统工程理论与实践,2017,37(6):1638-1647.
[6]李志义,李德惠,赵鹏武.电子商务领域本体概念及概念间关系的自动抽取研究[J].情报科学,2018(7):85-90
[7]李雨轩,黄奇,陈雪,等.利用领域本体提高信息对称性的研究[J].情报学报,2018(7).
[8]付苓.基于大数据的领域本体动态构建方法研究---以养生领域本体构建为例[J].情报理论与实践,2018(1):135-138.
[9]李枫林,毛展展.应用本体构建方法研究及案例分析[J].图书馆学研究,2014(19):31-41.
[10]于峰,李向阳,刘昭阁.城市灾害情景下应急案例本体建模与重用[J].管理评论,2016,28(8):25-36.
[11]唐明伟,苏新宁,姚兴山.本体驱动的突发事件案例知识库[J].情报理论与实践,2016,39(9):123-127.
[12]Rashedi E,Nezamabadi-Pour H,Saryazdi S.Long term learning in image retrieval systems using case based reasoning[J].Engineering Applications of Artificial Intelligence,2014,35(10):26-37.
[13]张双狮,兰月新,刘冰月,等.基于案例推理的群体性事件智能决策支持WEB系统研究[J].情报杂志,2017,36(4):106-111.
[14]Kleindorfer P R,Saad G H.Managing disruption risks in supply chains[J].Production and Operations Management,2005,14(1):53-68.
[15]佘贵清,张永安.基于本体的刑事审判案例推理方案研究[J].图书情报工作,2014(13):118-124.
[16]蔡玫,曹杰,于小兵.基于应急实例本体模型的应急案例推理方法[J].情报杂志,2016,35(6):183-188.
[17]李慧嘉,贾传亮,佘廉.基于本体关联网络的非常规突发事件案例快速提示方法[J].运筹与管理,2017(12):68-76.
[18]付业勤,郑向敏,郑文标,等.旅游危机事件网络舆情的监测预警指标体系研究[J].情报杂志,2014(8):184-189.
[19]李文杰,化存才,何伟全,等.网络舆情信息的综合评价指标体系构建与模糊评判模型[J].情报科学,2015(9):93-99.
[20]靳晓宏,王强,付宏,等.主题事件舆情指数的构建及实证研究---以食品安全主题为例[J].情报理论与实践,2016,39(12):103-108.
[21]田进,朱利平,曾润喜.网络舆情交互触发演变特征及政策议题建构效果---基于系列“PX事件”的案例研究[J].情报杂志,2016,35(2):133-138.
[22]杜洪涛,王君泽,李婕.基于多案例的突发事件网络舆情演化模式研究[J].情报学报,2017,36(10):1038-1049.
[23]王洪华,李锦兰.地方政府应对网络舆情危机的成功案例分析[J].现代情报,2014,34(9):153-157.
[24]原光.“涉官”网络舆情中政府回应速度差异与影响因素分析---基于136个案例的实证研究[J].情报杂志,2018(9):86-94.
[25]黄扬,李伟权.网络舆情推动下的网约车规制政策变迁逻辑---基于多源流理论的案例分析[J].情报科学,2018(8):84-91.
[26]L Mc Ginty,D C Wilson.Case-based reasoning research and development[C].8th International Conference on Case-Based Reasoning,Springer,Seattle,WA,2009:274-288.