[目的/意义]从理论、方法、技术与应用的视角研究大数据环境下的多源信息融合问题。[方法/过程]探索多源信息融合的理论基础与科学依据,梳理多源信息融合的问题与现象,对多源信息融合的技术与方法进行归纳总结,对构建大数据环境下的多源信息融合应用进行探讨。[结果/结论]大数据环境下的多源信息融合理论包括相关性原理、多元表示原理、意义建构理论等,多源信息融合方法包括统一标识、数据比对、异构加权等一系列过程以及多种分析建模方法,多源信息融合在国家层面、城市或行业组织层面、企业机构层面都有着广泛的需求与应用。
[Purpose/significance]To study the problem of multi-source information fusion in big data environment from the perspective of theory, method, technology and application.[Method/process]Explores the theory foundation and scientific basis of multi-source information fusion, and clarifies the problems and phenomenon of the multi-source information fusion, then summarizes technologies and methods of multi-source information fusion, to present applications of multi-source information fusion in big data environment.[Result/conclusion]Theories of multi-source information fusion include relevance principle, polyrepresentation principle, and sense-making theory.Methods of multi-source information fusion include a series of processes, such as unified resource, data comparison, heterogeneous weighted and a variety of analysis and modeling methods.At last, widely application and demand of multi-source information fusion are presented at the national level, city or level of industry, enterprise organization level.
[1] 李国杰,程学旗.大数据研究:未来科技及经济社会发展的重大战略领域——大数据的研究现状与科学思考[J].中国科学院院刊,2012(6):647-657.
[2] Boström H,Andler S F,Brohede M, et al.On the definition of information fusion as a field of research[R].School of Humanities and Informatics,University of Skövde,2007.
[3] 李广建,化柏林.我们的大数据时代[M].北京:中国人事出版社,2015.
[4] 唐卫平,颜冰.多传感器信息融合技术在网络雷阵中的应用[J].水雷战与舰船防护,2005(2) : 25-29.
[5] 张新民.多元表示与情报学[J].情报理论与实践,2009,32(7):23-28.
[6] 张新民,罗卫东.相关性与情报学[J].情报理论与实践,2008,31(1):12-14,64.
[7] 马费成.论情报学的基本原理及理论体系构建[J].情报学报,2007,26(1):3-13.
[8] 曾丹.基于意义建构信息利用偏差弥合的释义[J].武汉理工大学学报(社会科学版),2012,25(4): 636-641.
[9] Khaleghi B, Khamis A, Karray F O.Multisensor data fusion: A review of the state-of-the-art[J].Information Fusion,2013,14(1):28-44.
[10] Yager R R.A framework for multi-source data fusion[J].Information Sciences, 2004,163(1):175 – 200.
[11] Naumann F, Bilke A, Bleiholder J, et al.Data fusion in three steps: Resolving inconsistencies at schema-, tuple-, and value-level[J].IEEE Data Engineering Bulletin, 2006, 29(2):21-31.
[12] 陈科文,张祖平,龙军.多源信息融合关键问题、研究进展与新动向[J].计算机科学,2013, 40(8):6-13.
[13] Chopra K.Information fusion for intelligence analysis[C/OL].Proceedings of the 38th Hawaii International Conference on System Sciences,Hawaii,2005.[2015-08-26].https://www.computer.org/csdl/proceedings/hicss/2005/2268/04/22680111a.pdf.
[14] Solano M A, Ekwaro-Osire S,Tanik M M.High-level fusion for intelligence applications using recombinant cognition synthesis[J].Information Fusion,2012, 13(1): 79–98
[15] 涂子沛.数据之巅[M].北京:中信出版社,2014.
[16] Jagadish H V, Gehrke J, Labrinidis A, et al.Big data and its technical challenges[J].Communications of the ACM, 2014,57(7): 86-94.
[17] 化柏林.多源信息融合方法研究[J].情报理论与实践,2013(11):16-19.
[18] 张金槐.多源信息的Bayes融合精度鉴定方法[J].国防科技大学学报,2001(3):93-97.
[19] Si Lei, Wang Zhongbin, Tan Chao, et al.A novel approach for coal seam terrain prediction through information fusion of improved D–S evidence theory and neural network[J].Measurement,2014,54(8):140-151.
[20] Garcia E, Hausotte T,Amthor A.Bayes filter for dynamic coordinate measurements – Accuracy improvment, data fusion and measurement uncertainty evaluation[J].Measurement,2013, 46(9):3737-3744.
[21] Lin Guoping, Liang Jiye, Qian Yuhua.An information fusion approach by combining multigranulation rough sets and evidence theory[J].Information Sciences, 2015, 314: 184-199.
[22] Safari S, Shabani F, Simon D.Multirate multisensor data fusion for linear systems using Kalman filters and a neural network[J].Aerospace Science and Technology,2014, 39(12): 465-471.
[23] Suk Heung-Il, Lee Seong-Whan, Shen Dinggang.Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis[J].Neuroimage, 2014,101: 569-582.
[24] 李广建,杨林.大数据视角下的情报研究与情报研究技术[J].图书与情报,2012(6):1-8.
[25] 张志强.论科技情报研究新范式[J].情报学报,2012,31(8):788-797.
[26] 郑彦宁,刘志辉,赵筱媛,等.基于多源信息与多元方法的产业竞争情报分析范式[J].情报学报,2013,32(3):228-234.
