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Volumn 59, Issue 35, 2014, Pages 5066-5073

Scientific big data and Digital Earth

Author keywords

Big data; Data intensive science; Digital Earth; Earth science; Scientific big data

Indexed keywords


EID: 84921936882     PISSN: 10016538     EISSN: 18619541     Source Type: Journal    
DOI: 10.1007/s11434-014-0645-3     Document Type: Article
Times cited : (171)

References (49)
  • 2
    • 84870402156 scopus 로고    scopus 로고
    • Big-data computing: creating revolutionary breakthroughs in commerce, science, and society
    • Bryant RE, Katz RH, Lazowska ED (2008) Big-data computing: creating revolutionary breakthroughs in commerce, science, and society. Computing Community Consortium. http://www.cra.org/ccc/files/docs/init/Big_Data.pdf. Accessed 10 Nov 2013
    • (2008) Computing Community Consortium
    • Bryant, R.E.1    Katz, R.H.2    Lazowska, E.D.3
  • 3
    • 84879087611 scopus 로고    scopus 로고
    • Big data’s big unintended consequences
    • Wigan MR, Clarke R (2013) Big data’s big unintended consequences. Computer 46:46–53
    • (2013) Computer , vol.46 , pp. 46-53
    • Wigan, M.R.1    Clarke, R.2
  • 4
    • 84984775970 scopus 로고    scopus 로고
    • Big data: distilling meaning from data
    • Frankel F, Reid R (2008) Big data: distilling meaning from data. Nature 455:30
    • (2008) Nature , vol.455 , pp. 30
    • Frankel, F.1    Reid, R.2
  • 6
    • 84874754580 scopus 로고    scopus 로고
    • Big data management: concepts, techniques and challenges
    • (in Chinese)
    • Meng XF, Ci X (2013) Big data management: concepts, techniques and challenges. J Comput Res Dev 50:146–169 (in Chinese)
    • (2013) J Comput Res Dev , vol.50 , pp. 146-169
    • Meng, X.F.1    Ci, X.2
  • 7
    • 78649359388 scopus 로고    scopus 로고
    • Big data
    • Nature (2008) Big data. Nature 455:1–136
    • (2008) Nature , vol.455 , pp. 1-136
    • Nature1
  • 9
    • 80051803315 scopus 로고    scopus 로고
    • Data, data everywhere: a special report on managing information
    • Cukier K (2010) Data, data everywhere: a special report on managing information. Economist. http://www.economist.com/node/15557443#sthash.QG9d5Gkr.dpbs. Accessed 22 Aug 2013
    • (2010) Economist
    • Cukier, K.1
  • 10
    • 84867847033 scopus 로고    scopus 로고
    • Dealing with data
    • Science (2011) Dealing with data. Science 331:639–806
    • (2011) Science , vol.331 , pp. 639-806
    • Science1
  • 11
    • 84921938287 scopus 로고    scopus 로고
    • Manyika J, Chui M, Brown B et al (2011) Big data: the next frontier for innovation, competition, and productivity. Mckinsey Global Institute. Accessed 03 Sep 2013
    • Manyika J, Chui M, Brown B et al (2011) Big data: the next frontier for innovation, competition, and productivity. Mckinsey Global Institute. http://www.mckinsey.com/~/media/McKinsey/dotcom/Insights%20and%20pubs/MGI/Research/Technology%20and%20Innovation/Big%20Data/MGI_big_data_full_report.ashx. Accessed 03 Sep 2013
  • 12
    • 84921935935 scopus 로고    scopus 로고
    • United Nations Global Pulse (2012) Big data for development: challenges and opportunities. Accessed 05 Aug 2013
    • United Nations Global Pulse (2012) Big data for development: challenges and opportunities. http://www.unglobalpulse.org/sites/default/files/BigDataforDevelopment-UNGlobalPulseJune2012.pdf. Accessed 05 Aug 2013
  • 13
    • 84900007260 scopus 로고    scopus 로고
    • The importance of big data: a definition
    • Douglas L (2012) The importance of big data: a definition. Gartner. https://www.gartner.com/doc/2057415?ref=SiteSearch&sthkw=The%20importance%20of%20big%20data%3A%20a%20definition&fnl=search&srcId=1-3478922254. Accessed 30 Dec 2012
    • (2012) Gartner
    • Douglas, L.1
  • 15
    • 84921936611 scopus 로고    scopus 로고
    • Big data: seizing opportunities
    • Executive Office of the President (2014) Big data: seizing opportunities, preserving values. http://www.whitehouse.gov/sites/default/files/docs/big_data_privacy_report_5.1.14_final_print.pdf. Accessed 01 May 2014
    • (2014) Preserving values
  • 16
    • 84921938833 scopus 로고    scopus 로고
    • Executive Office of the President, President’s Council of Advisors on Science and Technology (2014) Report to the president big data and privacy: a technological perspective. Accessed 01 May 2014
    • Executive Office of the President, President’s Council of Advisors on Science and Technology (2014) Report to the president big data and privacy: a technological perspective. http://www.whitehouse.gov/sites/default/files/microsites/ostp/PCAST/pcast_big_data_and_privacy_-_may_2014.pdf. Accessed 01 May 2014
  • 17
    • 84921938671 scopus 로고    scopus 로고
    • Office of Science and Technology Policy Executive Office of the President (2012) Obama administration unveils “big data” initiative: announces $200 million in new r&d investments. Accessed 25 Jun 2012
    • Office of Science and Technology Policy Executive Office of the President (2012) Obama administration unveils “big data” initiative: announces $200 million in new r&d investments. http://www.whitehouse.gov/sites/default/files/microsites/ostp/big_data_press_release.pdf. Accessed 25 Jun 2012
  • 18
    • 84891101927 scopus 로고    scopus 로고
    • Network science and engineering faced with a new challenge and developing opportunity under the wave impact of big data
    • (in Chinese)
    • Fang JQ (2013) Network science and engineering faced with a new challenge and developing opportunity under the wave impact of big data. Chin J Nat 35:345–354 (in Chinese)
    • (2013) Chin J Nat , vol.35 , pp. 345-354
    • Fang, J.Q.1
  • 19
    • 84921936834 scopus 로고    scopus 로고
    • Preface
    • Science Press, Beijing, i-ii:
    • Bai CL (2013) Preface. In: Chinese Academy of Sciences (eds) China’s e-science blue book 2013. Science Press, Beijing, i-ii
    • (2013) Chinese Academy of Sciences , pp. 2013
    • Bai, C.L.1
  • 21
    • 84879547252 scopus 로고    scopus 로고
    • Research status and scientific thinking of big data
    • Li GJ, Cheng XQ (2012) Research status and scientific thinking of big data. Bull Chin Acad Sci 27:647–657 (in Chinese)
    • (2012) Bull Chin Acad Sci , vol.27 , pp. 647-657
    • Li, G.J.1    Cheng, X.Q.2
  • 22
    • 84921938152 scopus 로고    scopus 로고
    • NSF official on new supers, data-intensive future
    • (in Chinese)
    • Zhao Y (2013) NSF official on new supers, data-intensive future. e-Sci Technol Appl 4:91–93 (in Chinese)
    • (2013) e-Sci Technol Appl , vol.4 , pp. 91-93
    • Zhao, Y.1
  • 23
    • 12044249591 scopus 로고
    • The analysis of observed chaotic data in physical systems
    • Abarbanel HDI, Brown R, Sidorowich JJ et al (1993) The analysis of observed chaotic data in physical systems. Rev Mod Phys 65:1331–1392
    • (1993) Rev Mod Phys , vol.65 , pp. 1331-1392
    • Abarbanel, H.D.I.1    Brown, R.2    Sidorowich, J.J.3
  • 28
    • 84884749775 scopus 로고    scopus 로고
    • Efficient skyline computation on big data
    • Han XX, Li JZ et al (2013) Efficient skyline computation on big data. IEEE Trans Knowl Data Eng 25:2521–2535
    • (2013) IEEE Trans Knowl Data Eng , vol.25 , pp. 2521-2535
    • Han, X.X.1    Li, J.Z.2
  • 29
    • 33645712892 scopus 로고    scopus 로고
    • Compressed sensing
    • Donoho DL (2006) Compressed sensing. IEEE Trans Inf Theory 52:1289–1306
    • (2006) IEEE Trans Inf Theory , vol.52 , pp. 1289-1306
    • Donoho, D.L.1
  • 30
    • 85032750937 scopus 로고    scopus 로고
    • An introduction to compressive sampling
    • Candès EJ, Wakin MB (2008) An introduction to compressive sampling. IEEE Signal Proc Mag 25:21–30
    • (2008) IEEE Signal Proc Mag , vol.25 , pp. 21-30
    • Candès, E.J.1    Wakin, M.B.2
  • 31
    • 33750383209 scopus 로고    scopus 로고
    • K-SVD: an algorithm for designing overcomplete dictionaries for sparse representation
    • Aharon M, Elad M, Bruckstein A (2006) K-SVD: an algorithm for designing overcomplete dictionaries for sparse representation. IEEE Trans Signal Process 54:4311–4322
    • (2006) IEEE Trans Signal Process , vol.54 , pp. 4311-4322
    • Aharon, M.1    Elad, M.2    Bruckstein, A.3
  • 34
    • 84859783995 scopus 로고    scopus 로고
    • China’s earth observing satellites for building a digital earth
    • Guo HD (2012) China’s earth observing satellites for building a digital earth. Int J Digit Earth 5:185–188
    • (2012) Int J Digit Earth , vol.5 , pp. 185-188
    • Guo, H.D.1
  • 35
    • 84866465653 scopus 로고    scopus 로고
    • Digital earth from vision to practice: making sense of citizen-generated content
    • Craglia M, Ostermann F, Spinsanti L (2012) Digital earth from vision to practice: making sense of citizen-generated content. Int J Digit Earth 5:398–416
    • (2012) Int J Digit Earth , vol.5 , pp. 398-416
    • Craglia, M.1    Ostermann, F.2    Spinsanti, L.3
  • 36
    • 84892816680 scopus 로고    scopus 로고
    • Does DE need a C? A proposal for a DE curriculum
    • Foresman T, Schade S, Georgiadou Y et al (2014) Does DE need a C? A proposal for a DE curriculum. Int J Digit Earth 7:88–92
    • (2014) Int J Digit Earth , vol.7 , pp. 88-92
    • Foresman, T.1    Schade, S.2    Georgiadou, Y.3
  • 37
    • 84921937383 scopus 로고    scopus 로고
    • Digital earth: fifteen years experience and perspective
    • (in Chinese)
    • Guo HD, Wang CL (2013) Digital earth: fifteen years experience and perspective. Bull Chin Acad Sci 28:59–66 (in Chinese)
    • (2013) Bull Chin Acad Sci , vol.28 , pp. 59-66
    • Guo, H.D.1    Wang, C.L.2
  • 38
    • 84859500546 scopus 로고    scopus 로고
    • Digital earth 2020: towards the vision for the next decade
    • Craglia M, Bie KD, Jackson D et al (2012) Digital earth 2020: towards the vision for the next decade. Int J Digit Earth 5:4–21
    • (2012) Int J Digit Earth , vol.5 , pp. 4-21
    • Craglia, M.1    Bie, K.D.2    Jackson, D.3
  • 39
    • 84892797097 scopus 로고    scopus 로고
    • Advancing digital earth: beyond the next generation
    • Ehlers M, Woodgate P, Annoni A et al (2014) Advancing digital earth: beyond the next generation. Int J Digit Earth 7:3–16
    • (2014) Int J Digit Earth , vol.7 , pp. 3-16
    • Ehlers, M.1    Woodgate, P.2    Annoni, A.3
  • 40
    • 78650864986 scopus 로고    scopus 로고
    • Digital earth’s nervous system for crisis events: real-time sensor web enablement of volunteered geographic information
    • De Longueville B, Annoni A, Schade S et al (2010) Digital earth’s nervous system for crisis events: real-time sensor web enablement of volunteered geographic information. Int J Digit Earth 3:242–259
    • (2010) Int J Digit Earth , vol.3 , pp. 242-259
    • De Longueville, B.1    Annoni, A.2    Schade, S.3
  • 41
    • 84870312247 scopus 로고    scopus 로고
    • G-Hadoop: MapReduce across distributed data centers for data-intensive computing
    • Wang LZ, Tao J, Rajiv R et al (2013) G-Hadoop: MapReduce across distributed data centers for data-intensive computing. Future Gener Comput Syst 29:739–750
    • (2013) Future Gener Comput Syst , vol.29 , pp. 739-750
    • Wang, L.Z.1    Tao, J.2    Rajiv, R.3
  • 42
    • 84880331316 scopus 로고    scopus 로고
    • Towards building a multi-datacenter infrastructure for massive remote sensing image processing
    • Zhang WF, Wang LZ, Liu DS et al (2013) Towards building a multi-datacenter infrastructure for massive remote sensing image processing. Concurr Comput Pract Exp 25:1798–1812
    • (2013) Concurr Comput Pract Exp , vol.25 , pp. 1798-1812
    • Zhang, W.F.1    Wang, L.Z.2    Liu, D.S.3
  • 43
    • 84884702347 scopus 로고    scopus 로고
    • Virtual globe-based integration and sharing service method of geospatial information
    • (in Chinese)
    • Chen J, Xiang LG, Gong JY (2013) Virtual globe-based integration and sharing service method of geospatial information. Sci China Earth Sci 56:1780–1790 (in Chinese)
    • (2013) Sci China Earth Sci , vol.56 , pp. 1780-1790
    • Chen, J.1    Xiang, L.G.2    Gong, J.Y.3
  • 44
    • 84904651015 scopus 로고    scopus 로고
    • Task-tree based large-scale mosaicking for remote sensed imageries with dynamic dag scheduling, IEEE Trans Parallel Distrib Syst:
    • Ma Y, Wang LZ, Zomaya AY et al (2013) Task-tree based large-scale mosaicking for remote sensed imageries with dynamic dag scheduling. IEEE Trans Parallel Distrib Syst. doi:10.1109/TPDS.2013.272
    • (2013) Zomaya AY et al
    • Ma, Y.1    Wang, L.Z.2
  • 45
    • 84879685278 scopus 로고    scopus 로고
    • Redefining the possibility of digital earth and geosciences with spatial cloud computing
    • Yang CW, Xu Y, Nebert D (2013) Redefining the possibility of digital earth and geosciences with spatial cloud computing. Int J Digit Earth 6:297–312
    • (2013) Int J Digit Earth , vol.6 , pp. 297-312
    • Yang, C.W.1    Xu, Y.2    Nebert, D.3
  • 46
    • 84907571045 scopus 로고    scopus 로고
    • Parallel simulation of threat management for urban water distribution systems with MapReduce in clouds, Comput Sci Eng:
    • Wang LZ, Chen D, Liu WY et al (2012) Parallel simulation of threat management for urban water distribution systems with MapReduce in clouds. Comput Sci Eng. doi:10.1109/MCSE.2012.89
    • (2012) Liu WY et al
    • Wang, L.Z.1    Chen, D.2
  • 47
    • 84879617395 scopus 로고    scopus 로고
    • Enabling digital earth simulation models using cloud computing or grid computing: two approaches supporting high-performance GIS simulation frameworks
    • Kim IH, Tsou MH (2013) Enabling digital earth simulation models using cloud computing or grid computing: two approaches supporting high-performance GIS simulation frameworks. Int J Digit Earth 6:383–403
    • (2013) Int J Digit Earth , vol.6 , pp. 383-403
    • Kim, I.H.1    Tsou, M.H.2
  • 49
    • 84892759302 scopus 로고    scopus 로고
    • Digital earth: big earth data
    • Guo HD (2014) Digital earth: big earth data. Int J Digit Earth 7:1–2
    • (2014) Int J Digit Earth , vol.7 , pp. 1-2
    • Guo, H.D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.