1.Business School of Hohai University, Nanjing 211100 2.World Water Valley Institute, Hohai University, Nanjing 211100 3.Key Laboratory of Data Engineering and Knowledge Service of Jiangsu Province, Nanjing 210023
1 李阳, 孙建军. 面向智慧应急的情报资源保障能力建构[J]. 情报学报, 2019, 38(12): 1310-1319. 2 Goldin I, Mariathasan M. The butter?y defect: how globalization creates systemic risks and what to do about it[M]. Princeton: Princeton University Press, 2014. 3 Unlu A, Kapucu N, Sahin B. Disaster and crisis management in Turkey: a need for a unified crisis management system[J]. Disaster Prevention and Management, 2010, 19(2): 155-174. 4 Koliba C J, Mills R M, Zia A. Accountability in governance networks: an assessment of public, private, and nonprofit emergency management practices following hurricane Katrina[J]. Public Administration Review, 2011, 71(2): 210-220. 5 Kringos D, Carinci F, Barbazza E, et al. Managing COVID-19 within and across health systems: why we need performance intelligence to coordinate a global response[J]. Health Research Policy and Systems, 2020, 18(1): 80. 6 Kim K, Jung K. Dynamics of interorganizational public health emergency management networks: following the 2015 MERS response in South Korea[J]. Asia Pacific Journal of Public Health, 2018, 30(3): 207-216. 7 Dorasamy M, Raman M, Kaliannan M. Integrated community emergency management and awareness system: a knowledge management system for disaster support[J]. Technological Forecasting and Social Change, 2017, 121: 139-167. 8 李阳, 孙建军, 裴雷. 科学大数据与社会计算: 情报服务的现代转型与创新发展[J]. 图书与情报, 2017(5): 27-32. 9 Sakellariou S, Tampekis S, Samara F, et al. Review of state-of-the-art decision support systems (DSSs) for prevention and suppression of forest fires[J]. Journal of Forestry Research, 2017, 28(6): 1107-1117. 10 Fan X M, Xu Q, Alonso-Rodriguez A, et al. Successive landsliding and damming of the Jinsha River in eastern Tibet, China: prime investigation, early warning, and emergency response[J]. Landslides, 2019, 16(5): 1003-1020. 11 Zhai Y M, Chen S L, Ouyang Q W. GIS-based seismic hazard prediction system for urban earthquake disaster prevention planning[J]. Sustainability, 2019, 11(9): 2620. 12 van Ackere S, Beullens J, Vanneuville W, et al. FLIAT, an object-relational GIS tool for flood impact assessment in Flanders, Belgium[J]. Water, 2019, 11(4): 711. 13 Lei Y, Zhou X Q, Xie L. Emergency monitoring and disposal decision support system for sudden pollution accidents based on multimedia information system[J]. Multimedia Tools and Applications, 2019, 78(8): 11047-11071. 14 Van de Walle B, Turoff M. Decision support for emergency situations[J]. Information Systems and e-Business Management, 2008, 6: 295-316. 15 Pilone E, Mussini P, Demichela M, et al. Municipal emergency plans in Italy: requirements and drawbacks[J]. Safety Science, 2016 ,85: 163-170. 16 Aedo I, Díaz P, Carroll J M, et al. End-user oriented strategies to facilitate multi-organizational adoption of emergency management information systems[J]. Information Processing & Management, 2010, 46(1): 11-21. 17 Ford D N, Wolf C M. Smart cities with digital twin systems for disaster management[J]. Journal of Management in Engineering, 2020, 36(4): 04020027. 18 赫尔曼?哈肯. 协同学: 大自然构成的奥秘[M]. 凌复华, 译. 上海: 上海译文出版社, 2005. 19 Leonard H B, Howitt A M. Organising response to extreme emergencies: the Victorian Bushfires of 2009[J]. Australian Journal of Public Administration, 2010, 69(4): 372-386. 20 苏新宁, 朱晓峰, 崔露方. 基于生命周期的应急情报体系理论模型构建[J]. 情报学报, 2017, 36(10): 989-997. 21 李纲, 李阳. 智慧城市应急决策情报体系构建研究[J]. 中国图书馆学报, 2016, 42(3): 39-54. 22 李广建, 罗立群. 计算型情报分析的进展[J]. 中国图书馆学报, 2019, 45(4): 29-43. 23 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, 61(15): 60-71. 24 郭骅, 屈芳, 战培志. 城市应急管理情报平台构建研究[J]. 图书情报工作, 2018, 62(6): 93-104. 25 肖花. 协同理论视角下的突发事件应急处置信息资源共享研究[J]. 现代情报, 2019, 39(3): 109-114. 26 刘细文, 虞惠达. 分布式科技战略情报研究与服务之工作模式研究[J]. 情报学报, 2007, 26(3): 430-434. 27 李荣, 李辉, 吴雨蓉, 等. 面向战略情报研究的协同情报服务体系构建——基于科技前沿跟踪与预测实践分析[J]. 情报理论与实践, 2018, 41(3): 16-19. 28 张政, 王林, 孙晨, 等. 基于服务的应急信息“一张图”共享框架研究[J]. 测绘工程, 2016, 25(2): 47-51. 29 曹高辉, 徐元, 梁梦丽, 等. 基于情境的信息融合模型研究[J]. 情报学报, 2017, 36(6): 537-546. 30 Puttinaovarat S, Horkaew P. Flood forecasting system based on integrated big and crowdsource data by using machine learning techniques[J]. IEEE Access, 2020, 8: 5885-5905. 31 Luino F, Belloni A, Turconi L, et al. A historical geomorphological approach to flood hazard management along the shore of an alpine lake (northern Italy)[J]. Natural Hazards, 2018, 94(1): 471-488. 32 Zhang W, Zhou J Z, Liu Y, et al. Emergency evacuation planning against dike-break flood: a GIS-based DSS for flood detention basin of Jingjiang in central China[J]. Natural Hazards, 2016, 81(2): 1283-1301. 33 Meng X H, Zhang M, Wen J H, et al. A simple GIS-based model for urban rainstorm inundation simulation[J]. Sustainability, 2019, 11(10): 2830. 34 Chaawa M, Thabet I, Hanachi C, et al. Modelling and simulating a crisis management system: an organisational perspective[J]. Enterprise Information Systems, 2017, 11(4): 534-550. 35 Watts J, Morss R E, Barton C M, et al. Conceptualizing and implementing an agent-based model of information flow and decision making during hurricane threats[J]. Environmental Modelling & Software, 2019, 122: 104524. 36 Chen W, Zhai G F, Ren C Q, et al. Urban resources selection and allocation for emergency shelters: in a multi-hazard environment[J]. International Journal of Environmental Research and Public Health, 2018, 15(6): 1261. 37 Hawe G I, Wilson D T, Coates G, et al. STORMI: an agent-based simulation environment for evaluating responses to major incidents in the UK[C]// Proceedings of 9th International Conference on Information Systems for Crisis Response and Management, Simon Fraser University, 2012. 38 Ramaswami A, Russell A G, Culligan P J, et al. Meta-principles for developing smart, sustainable, and healthy cities[J]. Science, 2016, 352(6288): 940-943. 39 杨巧云, 姚乐野. 基于协调理论的应急情报部门跨组织工作流程研究[J]. 情报理论与实践, 2015, 38(8): 75-78, 84. 40 张玉磊. 跨界公共危机与中国公共危机治理模式转型: 基于整体性治理的视角[J]. 华东理工大学学报(社会科学版), 2016, 31(5): 59-78. 41 李胜, 卢俊. 从“碎片化”困境看跨域性突发环境事件治理的目标取向[J]. 经济地理, 2018, 38(11): 191-195, 240. 42 佟泽华, 韩春花, 宋锴, 等. 基于知识集成的竞争情报分析模型运行模式研究[J]. 情报理论与实践, 2014, 37(9): 48-54. 43 肖希明, 唐义. 国外多领域数字资源整合研究进展[J]. 中国图书馆学报, 2013, 39(4): 26-35. 44 Preece A, Hui K, Gray A, et al. KRAFT: an agent architecture for knowledge fusion[J]. International Journal of Cooperative Information Systems, 2001, 10(1/2): 171-195. 45 操玉杰, 李纲, 毛进, 等. 大数据环境下面向决策全流程的应急信息融合研究[J]. 图书情报知识, 2018(5): 95-104. 46 Smirnov A, Levashova T. Knowledge fusion patterns: a survey[J]. Information Fusion, 2019, 52: 31-40. 47 罗立群, 李广建. 智慧情报服务与知识融合[J]. 情报资料工作, 2019, 40(2): 87-94. 48 许海云, 武华维, 罗瑞, 等. 基于多元关系融合的科技文本主题识别方法研究[J]. 中国图书馆学报, 2019, 45(1): 82-94. 49 杨峰, 姚乐野. WSR描述下的快速响应情报体系: 一个综合集成的框架[J]. 情报资料工作, 2017(3): 11-17. 50 牟冬梅, 黄丽丽. 数字资源语义互联工具的比较及SWOT分析[J]. 情报理论与实践, 2014, 37(2): 136-140. 51 毕强, 刘健. 基于领域本体的数字文献资源聚合及服务推荐方法研究[J]. 情报学报, 2017, 36(5): 452-460. 52 郭骅, 苏新宁, 邓三鸿. “智慧城市”背景下的城市应急管理情报体系研究[J]. 图书情报工作, 2016, 60(15): 28-36, 52. 53 赵又霖, 庞烁, 吴宗大. 社会感知数据驱动下突发事件应急管理的时空语义模型构建研究[J]. 情报科学, 2021, 39(2): 44-53. 54 祝振媛, 李广建. “数据—信息—知识”整体视角下的知识融合初探——数据融合、信息融合、知识融合的关联与比较[J]. 情报理论与实践, 2017, 40(2): 12-18. 55 高劲松, 梁艳琪. 关联数据环境下知识融合模型研究[J]. 情报科学, 2016, 34(2): 50-54. 56 Smirnov A, Levashova T, Shilov N. Patterns for context-based knowledge fusion in decision support systems[J]. Information Fusion, 2015, 21: 114-129. 57 White F. Data fusion lexicon[R]. Virginia: Defense Technical Information Center, 1991: 16. 58 Luo R C, Kay M G. Multisensor integration and fusion: issues and approaches[OL]. (1988-08-09). https://doi.org/10.1117/12.946646. 59 Dasarathy B V. Sensor fusion potential exploitation-innovative architectures and illustrative applications[J]. Proceedings of the IEEE, 1997, 85(1): 24-38. 60 Meng T, Jing X Y, Yan Z, et al. A survey on machine learning for data fusion[J]. Information Fusion, 2020, 57: 115-129. 61 Liu J, Li T R, Xie P, et al. Urban big data fusion based on deep learning: an overview[J]. Information Fusion, 2020, 53: 123-133. 62 Ni Z J, Rong L L, Wang N, et al. Knowledge model for emergency response based on contingency planning system of China[J]. International Journal of Information Management, 2019, 46: 10-22. 63 徐雷, 潘珺. 事件表示方式及其语义表示模型研究[J]. 情报杂志, 2019, 38(6): 159-167. 64 Tai C H, Chang C T, Chang Y S. Hybrid knowledge fusion and inference on cloud environment[J]. Future Generation Computer Systems, 2018, 87: 568-579. 65 Zadeh L A. Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic[J]. Fuzzy Sets and Systems, 1997, 90(2): 111-127. 66 Lewis J, Fowler M. Microservices: a definition of this new architectural term[OL]. (2014-03-25). https://martinfowler.com/articles/microservices.html. 67 Gribaudo M, Iacono M, Manini D. Performance evaluation of replication policies in microservice based architectures[J]. Electronic Notes in Theoretical Computer Science, 2018, 337: 45-65. 68 孙宇, 周纲. 基于微服务架构的资源发现系统平台构建研究[J]. 中国图书馆学报, 2020, 46(1): 114-124. 69 曹树金, 马翠嫦. 信息聚合概念的构成与聚合模式研究[J]. 中国图书馆学报, 2016, 42(3): 4-19. 70 Nadareishvili I, Mitra R, McLarty M, et al. Microservice architecture: aligning principles, practices, and culture[M]. Sebastopol: O’Reilly Media, 2016. 71 钟陈星, 李杉杉, 张贺, 等. 限界上下文视角下的微服务粒度评估[J]. 软件学报, 2019, 30(10): 3227-3241. 72 Newman S. Building microservices: designing fine-grained systems[M]. Sebastopol: O’Reilly Media, 2015. 73 杨宁. 微服务平台中服务划分和选择策略研究和应用[D]. 北京: 北京邮电大学, 2019: 27. 74 Eric E. Domain-driven design: tackling complexity in the heart of software[M]. Upper Saddle River: Addison-Wesley Professional, 2003. 75 Vernon V. Implementing domain-driven design[M]. Upper Saddle River: Addison-Wesley Professional, 2013. 76 Omicini A, Ricci A, Viroli M. Artifacts in the A&A meta-model for multi-agent systems[J]. Autonomous Agents and Multi-Agent Systems, 2008, 17(3): 432-456. 77 Castelfranchi C. Goals, the true center of cognition[M]// Paglieri F, Tummolini L, Falcone R, et al. The goals of cognition: essays in honor of Cristiano Castelfranchi (Tributes). London: College Publications, 2012: 837-882. 78 王越, 吴建光, 胡进, 等. 面向复杂多阶段任务的多活性代理系统活性度量化策划方法[J]. 北京理工大学学报, 2018, 38(7): 703-708. 79 姚乐野, 李明, 曹杰. 基于Multi-Agent System的应急管理多元主体信息互动机制初探[J]. 情报资料工作, 2018(3): 44-50. 80 冯治东, 王桃, 顾清华, 等. 矿井突水平行应急管理理论和方法基础研究[J]. 系统工程理论与实践, 2017, 37(12): 3289-3296. 81 周敏, 董海荣, 徐惠春, 等. 平行应急疏散系统: 基本概念、体系框架及其应用[J]. 自动化学报, 2019, 45(6): 1074-1086. 82 张鼎华, 李卫俊, 申世飞. 基于混合仿真的群体性事件演化机理建模分析研究[J]. 情报杂志, 2019, 38(7): 131-137, 130. 83 Yu J, Zhang C R, Wen J H, et al. Integrating multi-agent evacuation simulation and multi-criteria evaluation for spatial allocation of urban emergency shelters[J]. International Journal of Geographical Information Science, 2018, 32(9): 1884-1910. 84 Li Y, Hu B S, Zhang D, et al. Flood evacuation simulations using cellular automata and multiagent systems - a human-environment relationship perspective[J]. International Journal of Geographical Information Science, 2019, 33(11): 2241-2258. 85 Shaikh N, Kakosimos K E, Adia N, et al. Concept and demonstration of a fully coupled and dynamic exposure-response methodology for crowd evacuation numerical modelling in airborne-toxic environments[J]. Journal of Hazardous Materials, 2020, 399: 123093. 86 Sudeikat J, Stegh?fer J P, Seebach H, et al. On the combination of top-down and bottom-up methodologies for the design of coordination mechanisms in self-organising systems[J]. Information and Software Technology, 2012, 54(6): 593-607. 87 Boes J, Migeon F. Self-organizing multi-agent systems for the control of complex systems[J]. Journal of Systems and Software, 2017, 134: 12-28. 88 Rao A S, Georgeff M P. BDI agents: from theory to practice[C]// Proceedings of the 1st International Conference on Multi-Agent Systems. San Francisco: The MIT Press, 1995: 312-319. 89 Wooldridge M J. An introduction to multiagent systems[M]. New York: John Wiley & Sons, 2009. 90 郭骅, 蒋勋. 面向整合管理的情报体系分析框架——一种建构主义视角[J]. 情报理论与实践, 2020, 43(2): 1-8. 91 Mariani S, Omicini A. Coordinating activities and change: an event-driven architecture for situated MAS[J]. Engineering Applications of Artificial Intelligence, 2015, 41: 298-309. 92 Bratman M E, Israel D J, Pollack M E. Plans and resource-bounded practical reasoning[J]. Computational Intelligence, 1988, 4(3): 349-355. 93 Bratman M E. Intentions, plans, and practical reason[M]. Cambridge: Harvard University Press, 1987: 27. 94 Cohen P R, Levesque H J. Intention is choice with commitment[J]. Artificial Intelligence, 1990, 42(2/3): 213-261. 95 Buford J F, Jakobson G, Lewis L. Peer-to-peer coupled agent systems for distributed situation management[J]. Information Fusion, 2010, 11(3): 233-242.