面向政府决策需求的社会舆情信息语义组织研究
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摘要
【目的】对海量异构的社会舆情信息进行语义组织,揭示社会舆情信息之间的多维度关联,以为后期的挖掘、分析和决策支持提供重要支撑。【方法】从政府决策需求出发,建立基于本体的社会舆情信息语义组织框架,根据社会舆情信息本体的特点,采用七步法的本体构建方法,以ABC事件本体为参考模型,明确其中的概念以及概念间的关系,建立社会舆情信息之间的语义关联。【结果】构建适用于社会舆情信息描述的POIOM模型,完成本体管理模块的设计。【局限】论文以访谈和统计分析为主要需求获取渠道,有待更多的政府决策者用户群体对需求加以验证和完善。【结论】POIOM模型对社会舆情信息具有良好的描述能力,从内容角度深层次地揭示同一案例不同特征项内容之间的关联,以及多舆情事件之间的逻辑关系和内在联系,基本验证了基于需求的社会舆情信息语义组织方法的可行性和有效性。
[Objective] This paper identifies multi-dimensional associations among social public opinion data with the help of semantic organization analysis technology. It also provides important support for data mining and decision-making tasks in the future. [Methods] We first studied the governmental decision-making needs to establish a semantic organization framework for the public opinion information. Second, we analyzed the characteristics of these information and then adopted the "seven-step-method" as well as the ABC event Ontology model to create a new one. Finally, we established the semantics connection among the public opinion information elements. [Results] We proposed a new POIOM model and management module for the public opinion information. [Limitations] This paper used interviews and statistical analysis to assess the information needs. More participants should be included in future studies. [Conclusions] The POIOM model could effectively describe the social public opinion information. It can also reveal the association among different features of the same case, as well as the logical and internal relationship among multiple public opinion events. This study shows that the semantic organization method is feasible and effective to process social public opinion information.
[Objective] This paper identifies multi-dimensional associations among social public opinion data with the help of semantic organization analysis technology. It also provides important support for data mining and decision-making tasks in the future. [Methods] We first studied the governmental decision-making needs to establish a semantic organization framework for the public opinion information. Second, we analyzed the characteristics of these information and then adopted the "seven-step-method" as well as the ABC event Ontology model to create a new one. Finally, we established the semantics connection among the public opinion information elements. [Results] We proposed a new POIOM model and management module for the public opinion information. [Limitations] This paper used interviews and statistical analysis to assess the information needs. More participants should be included in future studies. [Conclusions] The POIOM model could effectively describe the social public opinion information. It can also reveal the association among different features of the same case, as well as the logical and internal relationship among multiple public opinion events. This study shows that the semantic organization method is feasible and effective to process social public opinion information.
引文
[1]中国图书馆学会.2011-2012年图书馆学学科发展报告[M].北京:中国科学技术出版社,2012:1-5.(Library Society of China.Report on Advances in Library Science[M].Beijing:Science and Technology China Press,2012:1-5.)
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[8]董慧,王菲,姜赢,等.基于数字图书馆的本体应用环境研究[J].中国图书馆学报,2009,35(5):52-58.(Dong Hui,Wang Fei,Jiang Ying,et al.A Study of the Ontology Application Environment Based on the Digital Library[J].Journal of Library Science in China,2009,35(5):52-58.)
[9]申欣,田爱奎,朱瑞瑾.基于语义网的信息检索系统的研究与实现[J].山东理工大学学报:自然科学版,2011,25(1):92-97.(Shen Xin,Tian Aikui,Zhu Ruijin.Research and Implementation of Information Retrieval System Based on Semantic Web[J].Journal of Shandong University of Technology:Natural Science Edition,2011,25(1):92-97.)
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[12]王兰成,徐震.主题舆情分析中的语义Web文本分类研究[J].情报学报,2012,31(4):340-344.(Wang Lancheng,Xu Zhen.Research on Semantic Web Text Categorization in Subject Public Opinion Analysis[J].Journal of the China Society for Scientific and Technical Information,2012,31(4):340-344.)
[13]王兰成.网络舆情情报语义集成分析法的理论与实践探析[J].情报理论与实践,2013,36(2):48-50.(Wang Lancheng.Analysis on Theory and Practice of Intelligence Semantic Association Integrates Analysis[J].Information Studies:Theory&Application,2013,36(2):48-50.)
[14]付业勤,郑向敏,雷春,等.旅游危机事件网络舆情的本体分析[J].重庆理工大学学报:社会科学,2015,29(2):47-53.(Fu Yeqin,Zheng Xiangmin,Lei Chun,et al.Analysis on Network Opinion Ontology of Tourism Crisis[J].Journal of Chongqing University of Technology:Social Science,2015,29(2):47-53.)
[15]李宏伟,林萍,洪小娟.食品安全网络舆情本体学习研究[J].南京邮电大学学报:社会科学版,2013,15(4):72-77.(Li Hongwei,Lin Ping,Hong Xiaojuan.Research on Ontology Learning of Internet Public Sentiment Concerning Food Safety[J].Journal of Nanjing University of Posts and Telecommunications:Social Science,2013,15(4):72-77.)
[16]Lagoze C,Hunter J.The ABC Ontology and Model[J].Journal of Digital Information,2002,2(2):1-18.
[17]方兴东,熊剑.网络舆情蓝皮书[M].北京:电子工业出版社,2015:34-60.(Fang Xingdong,Xiong Jian.The Blue Book of Net-mediated Public Sentiment[M].Beijing:Publishing House of Electronics Industry,2015:34-60.)
[18]谢耘耕.中国社会舆情与危机管理报告[M].北京:社会科学文献出版社,2014:1-10.(Xie Yungeng.The Report on Chinese Social Opinion and Crisis Management[M].Beijing:Social Sciences Literature Press,2014:1-10.)
[19]杜骏飞,邹鸿强.危如朝露:2010~2011中国网络舆情报告[M].杭州:浙江大学出版社,2011:7-10.(Du Junfei,Zou Hongqiang.Report on Public Opinion of China Internet2010-2011[M].Hangzhou:Zhejiang University Press,2011:7-10.)
[20]ICTCLAS汉语分词系统[EB/OL].[2015-11-25].http://www.ictclas.org.(ICTCLAS,Institute of Computing Technology,Chinese Lexical Analysis System[EB/OL].[2015-11-25].http://www.ictclas.org.)
[21]张树庭,李未柠,孔清溪.中国开始进入互联网“新常态”——2014中国网络舆论生态环境研究报告[J].现代传播,2015,37(3):1-9.(Zhang Shuting,Li Weining,Kong Qingxi.China Began to Enter the Internet New Normal——The 2014 Report on the Ecological Environment of the Network Public Opinion in China[J].Modern Communication,2015,37(3):1-9.)
[22]人民网舆情工作室案例库[EB/OL].[2015-12-17].http://yq.people.com.cn/Case Lib.htm.(Cases in Public Opinion Monitoring Office of People.cn[EB/OL].[2015-12-17].http://yq.people.com.cn/Case Lib.htm.)
[23]宋余超,陈福集.面向主题分类的网络舆情博弈形成机制研究——基于三主体研究[J].情报杂志,2015,34(8):122-126,121.(Song Yuchao,Chen Fuji.The Formation Mechanism of Online Public Opinion Based on Topic Classification and Game Theory:A Study Based on the Three Subjects Involved[J].Journal of Intelligence,2015,34(8):122-126,121.)
[24]Gruber T R.A Translation Approach to Portable Ontologies Specificationsspecifications specifications specifications[J].Knowledge Acquisition,1993,5(2):199-220.
[25]白同强,刘磊.语义Web的研究与展望[J].吉林大学学报:信息科学版,2004,22(2):154-159.(Bai Tongqiang,Liu Lei.Research and Prospect in Semantic Web[J].Journal of Jilin University:Information Science Edition,2004,22(2):154-159.)
[26]白如江,于晓繁,王效岳.国内外主要本体库比较分析研究[J].现代图书情报技术,2011(1):3-13.(Bai Rujiang,Yu Xiaofan,Wang Xiaoyue.The Comparative Analysis of Major Domestic and Foreign Ontology Library[J].New Technology of Library and Information Service,2011(1):3-13.)
[27]杜文华.本体构建方法比较研究[J].情报杂志,2005,24(10):24-25.(Du Wenhua.The Comparative Analysis of Approaches in Constructing Ontology[J].Journal of Information,2005,24(10):24-25.)
[28]刘宇松.本体构建方法和开发工具研究[J].现代情报,2009,29(9):17-24.(Liu Yusong.Research of Approaches and Development Tools in Constructing Ontology[J].Journal of Modern Information,2009,29(9):17-24.)
[29]Kiryakov A,Popov B,Ognyanoff D,et al.Semantic Annotation,Indexing,and Retrieval[M].The Semantic WebISWC 2003.Springer Berlin Heidelberg,2003:484-499.
[30]Scherp A,Franz T,Saathoff C,et al.F--A Model of Events Based on the Foundational Ontology dolce+Dn S Ultralight[C].In:Proceedings of the 5th International Conference on Knowledge Capture.ACM,2009:137-144.
[31]王文俊,杨鹏,董存祥.应急案例本体模型的研究及应用[J].计算机应用,2009,29(5):1437-1440,1445.(Wang Wenjun,Yang Peng,Dong Cunxiang.Study and Application of Emergency Case Ontology Model[J].Journal of Computer Applications,2009,29(5):1437-1440,1445.)
[32]Protégé[EB/OL].[2013-11-30].http://protege.stanford.edu/.
[2]Sure Y,Akkermans H,Broekstra J,et al.On-To-Knowledge:Semantic Web Enabled Knowledge Management[C].In:Proceedings of Web Intelligence.Springer-Verlag,2003:277-300.
[3]Staab S,Maedche A,Handschuh S.An Annotation Framework for the Semantic Web[C].In:Proceedings of the1st Workshop on Multimedia Annotation,Tokyo,Japan.2001:30-31.
[4]方平.试论一体化医学语言系统(UMLS)超级叙词表的特点[J].图书情报工作,1998,42(10):26-29,41.(Fang Ping.The Characteristics of the UMLS Metathesaurus[J].Library and Information Service,1998,42(10):26-29,41.)
[5]李萍萍,李书宾.基于语义Web的知识组织方法与应用[J].中华医学图书情报杂志,2009,18(4):8-11.(Li Pingping,Li Shubin.Semantic Web-based Knowledge Organization Methods and Their Application[J].Chinese Journal of Medical Library and Information Science,2009,18(4):8-11.)
[6]苏晓路,钱平,颜蕴,等.农业科技信息智能检索系统中的知识组织[J].现代图书情报技术,2005(12):34-38.(Su Xiaolu,Qian Ping,Yan Yun,et al.The Knowledge Organization in the Agricultural Intelligent Retrieval System[J].New Technology of Library and Information Service,2005(12):34-38.)
[7]董慧,杜文华.基于本体和多代理的数字图书馆信息检索模型[J].中国图书馆学报,2004,30(2):63-65.(Dong Hui,Du Wenhua.A Modal of Digital Library Information Retrieval Based on Ontology and Multiple Agents[J].Journal of Library Science in China,2004,30(2):63-65.)
[8]董慧,王菲,姜赢,等.基于数字图书馆的本体应用环境研究[J].中国图书馆学报,2009,35(5):52-58.(Dong Hui,Wang Fei,Jiang Ying,et al.A Study of the Ontology Application Environment Based on the Digital Library[J].Journal of Library Science in China,2009,35(5):52-58.)
[9]申欣,田爱奎,朱瑞瑾.基于语义网的信息检索系统的研究与实现[J].山东理工大学学报:自然科学版,2011,25(1):92-97.(Shen Xin,Tian Aikui,Zhu Ruijin.Research and Implementation of Information Retrieval System Based on Semantic Web[J].Journal of Shandong University of Technology:Natural Science Edition,2011,25(1):92-97.)
[10]Kinsella S,Breslin J G,Passant A,et al.Applications of Semantic Web Methodologies and Techniques to Social Networks and Social Websites[A].//Reasoning Web[M].Springer Berlin Heidelberg,2008:171-199.
[11]Sleeman J,Finin T.Computing FOAF Co-reference Relations with Rules and Machine Learning[C].In:Proceedings of the3rd International Workshop on Social Data on Web,Shanghai,China.2010:595-608.
[12]王兰成,徐震.主题舆情分析中的语义Web文本分类研究[J].情报学报,2012,31(4):340-344.(Wang Lancheng,Xu Zhen.Research on Semantic Web Text Categorization in Subject Public Opinion Analysis[J].Journal of the China Society for Scientific and Technical Information,2012,31(4):340-344.)
[13]王兰成.网络舆情情报语义集成分析法的理论与实践探析[J].情报理论与实践,2013,36(2):48-50.(Wang Lancheng.Analysis on Theory and Practice of Intelligence Semantic Association Integrates Analysis[J].Information Studies:Theory&Application,2013,36(2):48-50.)
[14]付业勤,郑向敏,雷春,等.旅游危机事件网络舆情的本体分析[J].重庆理工大学学报:社会科学,2015,29(2):47-53.(Fu Yeqin,Zheng Xiangmin,Lei Chun,et al.Analysis on Network Opinion Ontology of Tourism Crisis[J].Journal of Chongqing University of Technology:Social Science,2015,29(2):47-53.)
[15]李宏伟,林萍,洪小娟.食品安全网络舆情本体学习研究[J].南京邮电大学学报:社会科学版,2013,15(4):72-77.(Li Hongwei,Lin Ping,Hong Xiaojuan.Research on Ontology Learning of Internet Public Sentiment Concerning Food Safety[J].Journal of Nanjing University of Posts and Telecommunications:Social Science,2013,15(4):72-77.)
[16]Lagoze C,Hunter J.The ABC Ontology and Model[J].Journal of Digital Information,2002,2(2):1-18.
[17]方兴东,熊剑.网络舆情蓝皮书[M].北京:电子工业出版社,2015:34-60.(Fang Xingdong,Xiong Jian.The Blue Book of Net-mediated Public Sentiment[M].Beijing:Publishing House of Electronics Industry,2015:34-60.)
[18]谢耘耕.中国社会舆情与危机管理报告[M].北京:社会科学文献出版社,2014:1-10.(Xie Yungeng.The Report on Chinese Social Opinion and Crisis Management[M].Beijing:Social Sciences Literature Press,2014:1-10.)
[19]杜骏飞,邹鸿强.危如朝露:2010~2011中国网络舆情报告[M].杭州:浙江大学出版社,2011:7-10.(Du Junfei,Zou Hongqiang.Report on Public Opinion of China Internet2010-2011[M].Hangzhou:Zhejiang University Press,2011:7-10.)
[20]ICTCLAS汉语分词系统[EB/OL].[2015-11-25].http://www.ictclas.org.(ICTCLAS,Institute of Computing Technology,Chinese Lexical Analysis System[EB/OL].[2015-11-25].http://www.ictclas.org.)
[21]张树庭,李未柠,孔清溪.中国开始进入互联网“新常态”——2014中国网络舆论生态环境研究报告[J].现代传播,2015,37(3):1-9.(Zhang Shuting,Li Weining,Kong Qingxi.China Began to Enter the Internet New Normal——The 2014 Report on the Ecological Environment of the Network Public Opinion in China[J].Modern Communication,2015,37(3):1-9.)
[22]人民网舆情工作室案例库[EB/OL].[2015-12-17].http://yq.people.com.cn/Case Lib.htm.(Cases in Public Opinion Monitoring Office of People.cn[EB/OL].[2015-12-17].http://yq.people.com.cn/Case Lib.htm.)
[23]宋余超,陈福集.面向主题分类的网络舆情博弈形成机制研究——基于三主体研究[J].情报杂志,2015,34(8):122-126,121.(Song Yuchao,Chen Fuji.The Formation Mechanism of Online Public Opinion Based on Topic Classification and Game Theory:A Study Based on the Three Subjects Involved[J].Journal of Intelligence,2015,34(8):122-126,121.)
[24]Gruber T R.A Translation Approach to Portable Ontologies Specificationsspecifications specifications specifications[J].Knowledge Acquisition,1993,5(2):199-220.
[25]白同强,刘磊.语义Web的研究与展望[J].吉林大学学报:信息科学版,2004,22(2):154-159.(Bai Tongqiang,Liu Lei.Research and Prospect in Semantic Web[J].Journal of Jilin University:Information Science Edition,2004,22(2):154-159.)
[26]白如江,于晓繁,王效岳.国内外主要本体库比较分析研究[J].现代图书情报技术,2011(1):3-13.(Bai Rujiang,Yu Xiaofan,Wang Xiaoyue.The Comparative Analysis of Major Domestic and Foreign Ontology Library[J].New Technology of Library and Information Service,2011(1):3-13.)
[27]杜文华.本体构建方法比较研究[J].情报杂志,2005,24(10):24-25.(Du Wenhua.The Comparative Analysis of Approaches in Constructing Ontology[J].Journal of Information,2005,24(10):24-25.)
[28]刘宇松.本体构建方法和开发工具研究[J].现代情报,2009,29(9):17-24.(Liu Yusong.Research of Approaches and Development Tools in Constructing Ontology[J].Journal of Modern Information,2009,29(9):17-24.)
[29]Kiryakov A,Popov B,Ognyanoff D,et al.Semantic Annotation,Indexing,and Retrieval[M].The Semantic WebISWC 2003.Springer Berlin Heidelberg,2003:484-499.
[30]Scherp A,Franz T,Saathoff C,et al.F--A Model of Events Based on the Foundational Ontology dolce+Dn S Ultralight[C].In:Proceedings of the 5th International Conference on Knowledge Capture.ACM,2009:137-144.
[31]王文俊,杨鹏,董存祥.应急案例本体模型的研究及应用[J].计算机应用,2009,29(5):1437-1440,1445.(Wang Wenjun,Yang Peng,Dong Cunxiang.Study and Application of Emergency Case Ontology Model[J].Journal of Computer Applications,2009,29(5):1437-1440,1445.)
[32]Protégé[EB/OL].[2013-11-30].http://protege.stanford.edu/.