突发事件网络舆情案例库的本体构建研究
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摘要
【目的/意义】案例库是以规范化方式存储记录网络舆情应对的知识及经验。作为整个案例推理的前提,案例库构建关系到推理过程整体运行效率以及决策支持的正确性。【方法/过程】通过集合突发事件网络舆情案例信息,提取案例公共属性特征,以自然语言描述案例属性,运用本体技术构建出突发事件网络舆情案例库表示模型。【结果/结论】案例库本体模型的构建不仅为案例表达提供语义表示的正式方法,而且阐明了本体内部组织建构模式,在案例结构规范化的基础上,增加了案例知识的重用频率,促进了其共享。
【Purpose/significance】The case base is a standardized way to store and record the knowledge and experience of network public opinions. As the premise of the whole case inference, the building of the case base is related to the correct operation of the inference process and the decision support.【[Method/process】By collecting the public opinion case information of emergencies and extracting the characteristics of public attributes of cases, the case attributes are described innatural language, and the ontology technology is used to build a case representation model of network public opinion casesof emergencies.【Result/conclusion】The construction of case base ontology model not only formally provides semantic rep-resentation for case expression, but also clarifies the model of hierarchical organization construction, standardizes the casestructure, improves the reusability of case knowledge, and facilitates sharing.
【Purpose/significance】The case base is a standardized way to store and record the knowledge and experience of network public opinions. As the premise of the whole case inference, the building of the case base is related to the correct operation of the inference process and the decision support.【[Method/process】By collecting the public opinion case information of emergencies and extracting the characteristics of public attributes of cases, the case attributes are described innatural language, and the ontology technology is used to build a case representation model of network public opinion casesof emergencies.【Result/conclusion】The construction of case base ontology model not only formally provides semantic rep-resentation for case expression, but also clarifies the model of hierarchical organization construction, standardizes the casestructure, improves the reusability of case knowledge, and facilitates sharing.
引文
1张一文.突发性公共危机事件与网络舆情作用机制研究[D].北京:北京邮电大学, 2012.
2 张倩生,谢柏林,张新猛.网络舆情突发事件的应急群决策方法[J].统计与决策, 2016,(10):38-41.
3 杨继君,曾子轩,佘廉.基于多属性效用匹配的应急案例检索方法研究[J].计算机应用研究, 2017,(3):386-390,39.
4 李群.突发事件应急会商与预案交互生成系统设计与实现[J].中国安全生产科学技术, 2017, 13(5):34-40.
5 蒋勋,苏新宁,周鑫.适应情景演化的应急响应知识库协同框架体系构建[J].图书情报工作, 2017,(15):60-71.
6 Neches R, Fikes R E, Gruber T R, et al. Enabling Technology for Knowledge Sharing[J].AIMagazine,1991,12(3):36-56.
7 Borst W N. Construction of Engineering Ontologies forKnowledgeSharingandReuse[J].Universiteit Twente, 2017,18(1):44-57.
8 A Lau, E Tsui, W B Lee. An ontology-based similarity measurement for problem-based case reasoning[J]. Expert Systems with Applications; 2009,36(3):6574-6579.
9 Morente-Molinera J A,Pérez I J,Ure a M R,et al.Creating Knowledge Databases for Storing and Sharing People Knowledge Automatically Using Group Decision Making and Fuzzy Ontologies[J]. Information Sciences,2016,(C):418-434.
10 Amailef K, Lu J. Ontology-supported case-based reasoning approach for intelligent m-Government emergency response services[M]. Holland:Elsevier Science Publishers B.V,2013.
11 FOGLI D,GUIDA G. Knowledge-centered design of decision support systems for emergency management[J].Decision Support Systems,2013,55(1):336-347.
12 戎军涛.基于本体的学科知识门户语义检索机制研究[J].情报科学, 2016, 34(6):47-51.
13 唐晓波,翟夏普.基于本体知识集合的知识检索研究[J].图书馆学研究,2018,(1):60-66.
14 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.
15 钟珊.论我国行政紧急权力制度及完善[D].青岛:中国海洋大学, 2012.
16 李培林,陈光金,张翼.社会蓝皮书:2018年中国社会形势分析与预测[M].北京:社科文献出版社, 2018.
17 李彪.网络事件传播阶段及阈值研究——以2010年34个热点网络舆情事件为例[J].国际新闻界, 2011,(10):22-27.
18 C.-C. Huang, T,-L. Tseng. Rough set approach to case-based reasoning application[J]. Expert Systems with Application,2006,26(3),369-385.
19 Gruber T R. A translation approach to portable ontology specifications[J].Knowledge acquisition,1993,5(2):199-220.
20 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.
2 张倩生,谢柏林,张新猛.网络舆情突发事件的应急群决策方法[J].统计与决策, 2016,(10):38-41.
3 杨继君,曾子轩,佘廉.基于多属性效用匹配的应急案例检索方法研究[J].计算机应用研究, 2017,(3):386-390,39.
4 李群.突发事件应急会商与预案交互生成系统设计与实现[J].中国安全生产科学技术, 2017, 13(5):34-40.
5 蒋勋,苏新宁,周鑫.适应情景演化的应急响应知识库协同框架体系构建[J].图书情报工作, 2017,(15):60-71.
6 Neches R, Fikes R E, Gruber T R, et al. Enabling Technology for Knowledge Sharing[J].AIMagazine,1991,12(3):36-56.
7 Borst W N. Construction of Engineering Ontologies forKnowledgeSharingandReuse[J].Universiteit Twente, 2017,18(1):44-57.
8 A Lau, E Tsui, W B Lee. An ontology-based similarity measurement for problem-based case reasoning[J]. Expert Systems with Applications; 2009,36(3):6574-6579.
9 Morente-Molinera J A,Pérez I J,Ure a M R,et al.Creating Knowledge Databases for Storing and Sharing People Knowledge Automatically Using Group Decision Making and Fuzzy Ontologies[J]. Information Sciences,2016,(C):418-434.
10 Amailef K, Lu J. Ontology-supported case-based reasoning approach for intelligent m-Government emergency response services[M]. Holland:Elsevier Science Publishers B.V,2013.
11 FOGLI D,GUIDA G. Knowledge-centered design of decision support systems for emergency management[J].Decision Support Systems,2013,55(1):336-347.
12 戎军涛.基于本体的学科知识门户语义检索机制研究[J].情报科学, 2016, 34(6):47-51.
13 唐晓波,翟夏普.基于本体知识集合的知识检索研究[J].图书馆学研究,2018,(1):60-66.
14 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.
15 钟珊.论我国行政紧急权力制度及完善[D].青岛:中国海洋大学, 2012.
16 李培林,陈光金,张翼.社会蓝皮书:2018年中国社会形势分析与预测[M].北京:社科文献出版社, 2018.
17 李彪.网络事件传播阶段及阈值研究——以2010年34个热点网络舆情事件为例[J].国际新闻界, 2011,(10):22-27.
18 C.-C. Huang, T,-L. Tseng. Rough set approach to case-based reasoning application[J]. Expert Systems with Application,2006,26(3),369-385.
19 Gruber T R. A translation approach to portable ontology specifications[J].Knowledge acquisition,1993,5(2):199-220.
20 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.