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Research Challenges and Perspectives on Wisdom Web of Things (W2T)

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Abstract

The rapid development of the Internet and the Internet of Things accelerates the emergence of the hyper world. It has become a pressing research issue to realize the organic amalgamation and harmonious symbiosis among humans, computers and things in the hyper world, which consists of the social world, the physical world and the information world (cyber world). In this chapter, the notion of Wisdom Web of Things (W2T) is proposed in order to address this issue. As inspired by the material cycle in the physical world, the W2T focuses on the data cycle, namely “from things to data, information, knowledge, wisdom, services, humans, and then back to things.” A W2T data cycle system is designed to implement such a cycle, which is, technologically speaking, a practical way to realize the harmonious symbiosis of humans, computers and things in the emergin hyper world.

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References

  1. Australian EEG Database. http://eeg.newcastle.edu.au/inquiry/

  2. M. Armbrust, A. Fox, R. Griffith, A. Joseph, R.H. Katz, A. Konwinski, G. Lee, D.A. Patterson, A. Rabkin, I. Stoica, M. Zaharia, Above the Clouds: A Berkeley View of Cloud Computing (Technical report, EECS Department, University of California, Berkeley, 2009)

    Google Scholar 

  3. T. Berners-Lee, J. Hendler, O. Lassila, The semantic web. Sci. Am. 284(5), 34–43 (2001)

    Article  Google Scholar 

  4. R. Casas, R.B. Marin, A. Robinet, A.R. Delgado, A.R. Yarza, J. McGinn, R. Picking, V. Grout, User modelling in ambient intelligence for elderly and disabled people, in Proceedings of the 11th International Conference on Computers Helping People with Special Needs (ICCHP 2008) (2008), pp. 114–122

    Google Scholar 

  5. H. Chaouchi, The Internet of Things-Connecting Objects to the Web (ISTE Ltd., Wiley, 2010)

    Google Scholar 

  6. J.H. Chen, N. Zhong, Data-brain modeling based on brain informatics methodology, in Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence (WI’08) (2008), pp. 41–47

    Google Scholar 

  7. J.H. Chen, N. Zhong, Data-brain modeling for systematic brain informatics, in Proceedings of the 2009 International Conference on Brain Informatics (BI 2009) (2009), pp. 182–193

    Google Scholar 

  8. J.H. Chen, N. Zhong, R.H. Huang, Towards Systematic human brain data management using a data-brain based GLS-BI system, in Proceedings of the 2010 International Conference on Brain Informatics (BI 2010) (2010), pp. 365–376

    Google Scholar 

  9. R.J. Davidson, W. Irwin, M.J. Anderle, N.H. Kalin, The neural substrates of affective processing in depressed patients treated with venlafaxine. Am. J. Psychiatry. 160(1), 64–75 (2003)

    Article  Google Scholar 

  10. T. Dillon, A. Talevski, V. Potdar, E. Chang. Web of things as a framework for ubiquitous intelligence and computing, in Proceedings of the 6th International Conference on Ubiquitous Intelligence and Computing (2009), pp. 1–10

    Google Scholar 

  11. D. Fensel, F. van Harmelen, Unifying reasoning and search to web scale. IEEE Internet Comput. 11(2), 96, 94–95 (2007)

    Google Scholar 

  12. D. Fensel, F. van Harmelen, B. Andersson, P. Brennan, H. Cunningham, E.D. Valle, F. Fischer, Z.S. Huang, A. Kiryakov, T.K. Lee, L. Schooler, V. Tresp, S. Wesner, M. Witbrock, N. Zhong, Towards LarKC: a platform for web-scale reasoning, in Proceedings of the 2008 IEEE International Conference on Semantic Computing (2008), pp. 524–529

    Google Scholar 

  13. I. Foster, C. Kesselman, The grid: blueprint for a new computing infrastructure (Morgan Kaufmann, 1999)

    Google Scholar 

  14. I. Foster, C. Kesselman, The grid 2: blueprint for a new computing infrastructure (Morgan Kaufmann, 2003)

    Google Scholar 

  15. fMRI Data Center. http://www.fmridc.org/f/fmridc

  16. M.X. Gao, C.N. Liu, A constraints-based semantic mapping method from natural language questions to OWL. Acta Electronica Sinica 35(8), 1598–1602 (2007)

    Google Scholar 

  17. B. Hayes, Cloud computing. Commun. ACM 7, 9–11 (2008)

    Article  Google Scholar 

  18. D. Heckmann. Ubiquitous user modeling for situated interaction, in Proceedings of the 8th International Conference on User Modeling (Springer LNCS 2109, Sonthofen, Germany, 2001), pp. 280–282

    Google Scholar 

  19. D. Heckmann, A. Krueger, A User modeling Markup Language (UserML) for ubiquitous computing, in Proceedings of the 9th International Conference on User Modeling, Johnstown, Pennsylvania, USA (2003), pp. 393–397

    Google Scholar 

  20. J. Hendler, Web 3.0: chicken farms on the semantic web. Computer 41(1), 106–108 (2008)

    Article  Google Scholar 

  21. K. Henricksen, J. Indulska, A. Rakotonirainy, Modeling context information in pervasive computing systems, in Proceedings of the 1st International Conference on Pervasive Computing, Springer LNCS 2414, Zurich, Switzerland (2002), pp. 167–180

    Google Scholar 

  22. J. Hu, N. Zhong, Organizing multiple data sources for developing intelligent e-business portals. Data Min. Knowl. Discov. 12(2–3), 127–150 (2006). Springer

    Article  MathSciNet  Google Scholar 

  23. R.H. Huang, J.H. Ma, Homelog based kid’s activity awareness, in Proceedings of the 2009 Computation World: Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns, Athens, Greece (2009), pp. 591–596

    Google Scholar 

  24. IBM (2010) Smarter Planet. http://www.ibm.com/smarterplanet/us/en/overview/ideas/index.html

  25. W. Irwin, M.J. Anderle, H.C. Abererombie, M.S. Stacey, N.H. Kalin, R.J. Davidson, Amygdalar interhemispheric functional connectivity differs between the non-depressed and depressed human brain. NeuroImage 21(2), 674–86 (2004)

    Article  Google Scholar 

  26. E. Kim, J. Choi. An ontology-based context model in a smart home, in Proceedings of the 2006 International Conference on Computational Science and Its Applications (ICCSA 2006) (2006), pp. 11–20

    Google Scholar 

  27. E.J. Ko, H.J. Lee, J.W. Lee, Ontology-based context modeling and reasoning for U-healthCare. IEICE Trans. Inf. Syst. E90–D(8), 1262–1270 (2007)

    Google Scholar 

  28. T.L. Kunii, J.H. Ma, R.H. Huang, Hyperworld modeling, in Proceedings of the International Conference on Visual Information Systems (VIS’96) (1996), pp. 1—8

    Google Scholar 

  29. C.E. Landwehr, Green computing. IEEE Secur. Priv. 3(6), 3 (2005)

    Article  Google Scholar 

  30. O. Lassila, J. Hendler, Embracing "Web 3.0". IEEE Internet Comput. 11(3), 90–93 (2007)

    Article  Google Scholar 

  31. W.B. Li, N. Zhong, Y.Y. Yao, J.M. Liu, An operable email based intelligent personal assistant. World Wide Web 12(2), 125–147 (2009). Springer

    Article  Google Scholar 

  32. P.P. Liang, Y.H. Yang, S.F. Lu, K.C. Li, N. Zhong, The role of the DLPFC in inductive reasoning of MCI patient and normal aging: an fMRI study. Sci. China Ser. C Life Sci. 39(7), 711–716 (2009)

    Google Scholar 

  33. P.P. Liang, N. Zhong, S.F. Lu, J.M. Liu, ERP characteristics of sentential inductive reasoning in time and frequency domains. Cogn. Syst. Res. 11(1), 67–73 (2010)

    Article  Google Scholar 

  34. J.M. Liu, N. Zhong, Y.Y. Yao, Z.W. Ras, The wisdom web: new challenges for Web intelligence (WI). J. Intell. Inf. Syst. 20(1), 5–9 (2003)

    Article  Google Scholar 

  35. J.M. Liu, Web Intelligence (WI): what makes wisdom web?, in Proceedings of Eighteenth International Joint Conference on Artificial Intelligence (IJCAI’03) (2003), pp. 1596–1601

    Google Scholar 

  36. J.M. Liu, X. Jin, K.C. Tsui, Autonomy Oriented Computing: From Problem Solving to Complex Systems Modeling (Springer, 2005)

    Google Scholar 

  37. J.H. Ma, R.H. Huang, Improving human interaction with a hyperworld, in Proceedings of the Pacific Workshop on Distributed Multimedia Systems (DMS’96) (1996), pp. 46–50

    Google Scholar 

  38. J.H. Ma, Smart u-Things-challenging real world complexity. IPSJ Symp. Ser. 2005(19), 146–150 (2005)

    Google Scholar 

  39. J.H. Ma, L.T. Yang, B.O. Apduhan, R.H. Huang, L. Barolli, M. Takizawa, Towards a smart world and ubiquitous intelligence: a walkthrough from smart things to smart hyperspaces and UbicKids. Int. J. Pervasive Comput. Commun. 1(1), 53–68 (2005)

    Article  Google Scholar 

  40. J.H. Ma, Smart u-Things and ubiquitous intelligence, in Proceedings of the 2nd International Conference on Embedded Software and Systems (ICESS 2005) (2005), p. 776

    Google Scholar 

  41. J.H. Ma, Q.F. Zhao, V. Chaudhary, J.D. Cheng, L.T. Yang, R.H. Huang, Q. Jin, Ubisafe computing: vision and challenges (I), in Proceedings of the 3rd International Conference on Autonomic and Trusted Computing (ATC 2006) (2006), pp. 386–397

    Google Scholar 

  42. J.H. Ma. Spacelog concept and issues for novel u-Services in smart spaces, in Proceedings of the 2nd International Conference on Future Generation Communication and Networking Symposia (2008), pp. 89–92

    Google Scholar 

  43. C.J.L. Murray, A.D. Lopez, The Global Burden of Disease: A Comprehensive Assessment of Cambridge (USA) (Harvard University Press, 1996), pp. 412–417, 445–448, 553–556, 808–811

    Google Scholar 

  44. Neocortical Microcircuit Database. http://microcircuit.epfl.ch

  45. R. Ogle, Smart World: Breakthrough Creativity and the New Science of Ideas (Harvard Business School Press, Boston, MA, 2007)

    Google Scholar 

  46. Olfactory Receptor Database. http://senselab.med.yale.edu/ORDB/default.asp

  47. T. O’Reilly. What is Web 2.0. http://www.oreilly.com/pub/a/oreilly/tim/news/2005/09/30/what-is-web-20.html (2005)

  48. T. O’Reilly. What is Web 2.0: design patterns and business models for the next generation of software. Commun. Strateg. 1, 17–37 (2007)

    Google Scholar 

  49. S. Posse, D. Fitzgerald, K. Gao, U. Habel, D. Rosenberg, G.J. Moore, F. Schneider, Real-time fMRI of temporolimbic regions detects amygdala activation during single-trial self-induced sadness. NeuroImage 18(3), 760–768 (2003)

    Article  Google Scholar 

  50. H. Seiho, A couple responding to children’s problems. Child Psychol. 805 (2004)

    Google Scholar 

  51. M.P. Singh, M.N. Huhns, Service-Oriented Computing (Wiley, 2005)

    Google Scholar 

  52. V. Stirbu, Towards a RESTful plug and play experience in the Web of things, in Proceedings of the 2008 IEEE International Conference on Semantic Computing (2008), pp. 512–517

    Google Scholar 

  53. Y.L. Su, L. Zheng, N. Zhong, C.N. Liu, J.M. Liu, Distributed reasoning based on Problem Solver Markup Language (PSML)—a demonstration through extended OWL, in Proceedings of the 2005 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE’05) (2005), pp. 208–213

    Google Scholar 

  54. K. Takata, J.H. Ma, B.O. Apduhan, A dangerous location aware system for assisting kids safety care, in Proceedings of the 20th International Conference on Advanced Information Networking and Applications (AINA’06) (2006), pp. 657–662

    Google Scholar 

  55. P.W. Tian, Y.X. Zhang, Y.Z. Zhou, L.T. Yang, M. Zhong, L.K. Weng, L. Wei, A novel service evolution approach for active services in ubiquitous computing. Int. J. Commun. Syst. 22(9), 1123–1151 (2009)

    Article  Google Scholar 

  56. E. Vildjiounaite, O. Kocsis, V. Kyllonen, B. Kladis. Context-dependent user modelling for smart homes, in Proceedings of the 11th International Conference on User Modeling (UM 2007) (2007), pp. 345–349

    Google Scholar 

  57. X. Wang, G. Chen, Complex network: small-world, scale-free and beyond. IEEE Circ. Syst. Mag. 3(2), 6–20 (2003)

    Article  Google Scholar 

  58. X.H. Wang, D.Q. Zhang, T. Gu, H.K. Pung, Ontology based context modeling and reasoning using OWL, in Proceedings of the 2nd IEEE Annual Conference on Pervasive Computing and Communications Workshops, IEEE CS Press, Orlando, Florida, USA (2004), pp. 18–22

    Google Scholar 

  59. P.W. Warren, From ubiquitous computing to ubiquitous intelligence. BT Technol. J. 22(2), 28–38 (2004)

    Article  Google Scholar 

  60. M. Weiser, The computer for the 21st century. Sci. Am. 265(3), 66–75 (1991)

    Article  Google Scholar 

  61. M. Weiser, Some computer science issues in ubiquitous computing. Commun. ACM 36(7), 75–84 (1993)

    Article  Google Scholar 

  62. E. Welbourne, L. Battle, G. Cole, K. Gould, K. Rector, S. Raymer, M. Balazinska, G. Borriello, Building the internet of things using RFID. IEEE Internet Comput. 33(3), 48–55 (2009)

    Article  Google Scholar 

  63. J. Wen, K. Ming, F.R. Wang, B.X. Huang, J.H. Ma, Cyber-I: vision of the individual’s counterpart on cyberspace, in Proceedings of the 8th IEEE International Conference on Dependable, Autonomic and Secure Computing (2009), pp. 295–302

    Google Scholar 

  64. J. Williams, L. Curtis, Green: the new computing coat of arms. IT Prof. 10(1), 12–16 (2008)

    Article  Google Scholar 

  65. W.J. Xu, New Approaches in Epidemiology and Treatment of Depression: With a Case Report (The medicine of Zhejinag University (Psychiatry), 2007)

    Google Scholar 

  66. Y.Y. Yao, Granular computing: basic issues and possible solutions, in Proceedings of the 5th Joint Conference on Information Sciences (1999), pp. 186–189

    Google Scholar 

  67. Y.Y. Yao, N. Zhong, J.M. Liu, S. Ohsuga, Web Intelligence (WI): research challenges and trends in the new information age, in N. Zhong, Y.Y. Yao, J. Liu, S. Ohsuga (eds.), Web Intelligence: Research and Development, Springer, LNAI 2198 (2001)

    Google Scholar 

  68. Y.Y. Yao, N. Zhong, Granular computing. Encycl. Comput. Sci. Eng. 3, 1446–1453 (2009). Wiley

    Google Scholar 

  69. Y. Zeng, Y. Wang, Z.S. Huang, N. Zhong, Unifying Web-scale search and reasoning from the viewpoint of granularity, in Proceedings of the 2009 International Conference on Active Media Technology, Springer, LNCS 5820 (2009), pp. 418–429

    Google Scholar 

  70. Y. Zeng, N. Zhong, Y. Wang, Y.L. Qin, Z.S. Huang, H.Y. Zhou, Y.Y. Yao, F. von. Harmelen, User-centric query refinement and processing using granularity based strategies. Knowl. Inf. Syst. (2010) (in press, Springer)

    Google Scholar 

  71. Y.X. Zhang, C.H. Fang, Actives Services: Concepts, Architecture and Implementation (Thomson Learning Press, Washington, 2005)

    Google Scholar 

  72. Y.X. Zhang, Y.Z. Zhou, Transparent computing: a new paradigm for pervasive computing, in Proceedings of the 3rd International Conference on Ubiquitous Intelligence and Computing (UIC 2006) (2006), pp. 1–11

    Google Scholar 

  73. Y.X. Zhang, L.T. Yang, Y.Z. Zhou, W.Y. Kuang, Information security underlying transparent computing: impacts, visions and challenges. Web Intell. Agent Syst. 8(2), 203–217 (2010). IOS Press

    Google Scholar 

  74. N. Zhong, J.M. Liu, Y.Y. Yao, S. Ohsuga. Web Intelligence (WI), in Proceedings of the 24th IEEE Computer Society International Computer Software and Applications Conference (COMPSAC 2000) (2000), pp. 469–470

    Google Scholar 

  75. N. Zhong, J.M. Liu, Y.Y. Yao, In search of the Wisdom Web. IEEE Comput. 35(11), 27–31 (2002)

    Article  Google Scholar 

  76. N. Zhong, J.M. Liu, Y.Y. Yao, Web Intelligence (WI): a new paradigm for developing the Wisdom Web and social network intelligence, in Web Intelligence (Springer, 2003), pp. 1–16

    Google Scholar 

  77. N. Zhong, J.M. Liu, Y.Y. Yao, Web Intelligence (Springer, 2003)

    Google Scholar 

  78. N. Zhong. Building a brain-informatics portal on the wisdom web with a multi-layer grid: a new challenge for web intelligence research, in V. Torra, Y. Narukawa, S. Miyamoto (eds.) Modeling Decisions for Artificial Intelligence (Springer, LNAI 3558, 2005), pp. 24–35

    Google Scholar 

  79. N. Zhong, Impending brain informatics research from web intelligence perspective. Int. J. Inf. Technol. Decis. Mak. 5(4), 713–727 (2006). World Scientific

    Article  Google Scholar 

  80. N. Zhong, J.M. Liu, Y.Y. Yao, J.L. Wu, S.F. Lu, Y.L. Qin, K.C. Li, B. Wah, Web intelligence meets brain informatics, in N. Zhong et al. (eds.), Web Intelligence Meets Brain Informatics (Springer LNCS 4845, Sate-of-the-Art Survey, 2006), pp. 1–31

    Google Scholar 

  81. N. Zhong, J.M. Liu, Y.Y. Yao, Envisioning intelligent information technologies through the prism of web intelligence. Commun. ACM 50(3), 89–94 (2007)

    Article  Google Scholar 

  82. N. Zhong, Ways to develop human-level web intelligence: a brain informatics perspective, in E. Franconi, M. Kifer, W. May (eds.), The Semantic Web: Research and Applications (Springer LNCS 4519, 2007), pp. 27–36

    Google Scholar 

  83. N. Zhong J.M. Liu, Y.Y. Yao, Web Intelligence (WI). Encycl. Comput. Sci. Eng. 5, 3062–3072 (2009, Wiley)

    Google Scholar 

  84. N. Zhong, P.P. Liang, Y.Y. Qin, S.F. Lu, Y.H. Yang, K.C. Li, Neural substrates of data-driven scientific discovery: an fMRI study during performance of number series completion task. Sci. China Ser. C Life Sci. 39(3), 1–8 (2009)

    Google Scholar 

  85. Y.Z. Zhou, Y.X. Zhang, Transparent Computing: Concepts, Architecture, and Implementation (Cengage Learning, 2010)

    Google Scholar 

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Acknowledgments

The work is partially supported by the National Natural Science Foundation of China (Number: 60905027), Beijing Natural Science Foundation (4102007), China Scholarship Council (CSC) (File No. 2009654018), Open Foundation of Key Laboratory of Multimedia and Intelligent Software (Beijing University of Technology), Beijing, Support Center for Advanced Telecommunications Technology Research, Foundation (SCAT), Japan, and JSPS Grants-in-Aid for Scientific Research (No.21500081), Japan.

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Authors and Affiliations

  1. Department of Life Science and Informatics, Maebashi Institute of Technology, 460-1 Kamisadori-Cho, Maebashi-City, 371-0816, Japan

    Ning Zhong

  2. Beijing Advanced Innovation Center for Future Internet Technology, The International WIC Institute, Beijing University of Technology, Beijing, China

    Ning Zhong

  3. International WIC Institute, Beijing University of Technology, Beijing, 100124, China

    Jiming Liu, Yiyu Yao & Jianhui Chen

  4. Department of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong SAR

    Jiming Liu

  5. Department of Computer Science, University of Regina, Regina, S4S 0A2, SK, Canada

    Yiyu Yao

  6. Department of Computer Science and Technology, Tsinghua University, Beijing, 100084, China

    Jianhui Chen

  7. Faculty of Computer and Information Sciences, Hosei University, Tokyo, 184-8584, Japan

    Jianhua Ma & Runhe Huang

  8. Key Laboratory of Pervasive Computing, Ministry of Education, and Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science and Technology, Tsinghua University, Beijing, 100084, China

    Yaoxue Zhang

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Editors and Affiliations

  1. Dep of Life Sci & Informatic, Maebashi Institute of Technology Dep of Life Sci & Informatic, Maebashi, Japan

    Ning Zhong

  2. Faculty of Computer and Information Sciences, Hosei University, Tokyo, Japan

    Jianhua Ma

  3. Department of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong

    Jiming Liu

  4. Faculty of Computer and Information Science, Hosei University , Tokyo, Japan

    Runhe Huang

  5. Department of Mathematics and Computing, The University of Southern Queensland, Toowoomba, Queensland, Australia

    Xiaohui Tao

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Zhong, N. et al. (2016). Research Challenges and Perspectives on Wisdom Web of Things (W2T). In: Zhong, N., Ma, J., Liu, J., Huang, R., Tao, X. (eds) Wisdom Web of Things. Web Information Systems Engineering and Internet Technologies Book Series. Springer, Cham. https://doi.org/10.1007/978-3-319-44198-6_1

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