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 paper, 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 emerging hyper world.
References
Australian EEG Database (2010). http://eeg.newcastle.edu.au/inquiry/
Armbrust M, Fox A, Griffith R, Joseph AD, Katz RH, Konwinski A, Lee G, Patterson DA, Rabkin A, Stoica I, Zaharia M (2009) Above the clouds: a Berkeley view of cloud computing. Technical report, EECS Department, University of California, Berkeley
Berners-Lee T, Hendler J, Lassila O (2001) The semantic web. Sci Am 284(5):34–43
Casas R, Marin RB, Robinet A, AR Delgado, Yarza AR, McGinn J, Picking R, Grout V (2008) User modelling in ambient intelligence for elderly and disabled people. In: Proc the 11th international conference on computers helping people with special needs (ICCHP 2008), 2008, pp 114–122
Chaouchi H (2010) The Internet of things-connecting objects to the web. ISTE Ltd. Wiley, New York
Chen JH, Zhong N (2008) Data-Brain modeling based on Brain Informatics methodology. In: Proc the 2008 IEEE/WIC/ACM international conference on web intelligence (WI’08), 2008, pp 41–47
Chen JH, Zhong N (2009) Data-Brain modeling for systematic Brain Informatics. In: Proc the 2009 international conference on brain informatics (BI 2009), 2009, pp 182–193
Chen JH, Zhong N, Huang RH (2010) Towards systematic human Brain Data management using a Data-Brain based GLS-BI system. In: Proc the 2010 international conference on Brain Informatics (BI 2010), 2010, pp 365–376
Davidson RJ, Irwin W, Anderle MJ, Kalin NH (2003) The neural substrates of affective processing in depressed patients treated with venlafaxine. Am J Psychiatry 160(1):64–75
Dillon T, Talevski A, Potdar V, Chang E (2009) Web of things as a framework for ubiquitous intelligence and computing. In: Proc the 6th international conference on ubiquitous intelligence and computing, pp 1–10
Fensel D, van Harmelen F (2007) Unifying reasoning and search to web scale. IEEE Internet Comput 11(2):96 94–95
Fensel D, van Harmelen F, Andersson B, Brennan P, Cunningham H, ED Valle, Fischer F, Huang ZS, Kiryakov A, Lee TK, Schooler L, Tresp V, Wesner S, Witbrock M, Zhong N (2008) Towards LarKC: a platform for web-scale reasoning. In: Proc the 2008 IEEE international conference on semantic computing, pp 524–529
Foster I, Kesselman C (1999) The Grid: blueprint for a new computing infrastructure. Morgan Kaufmann, San Mateo
Foster I, Kesselman C (2003) The Grid 2: blueprint for a new computing infrastructure. Morgan Kaufmann, San Mateo
fMRI Data Center (2010) http://www.fmridc.org/f/fmridc
Gao MX, Liu CN (2007) A constraints-based semantic mapping method from natural language questions to OWL. Acta Electron Sin 35(8):1598–1602
Hayes B (2008) Cloud computing. Commun ACM 51(7):9–11
Heckmann D (2001) Ubiquitous user modeling for situated interaction. In: Proc the 8th international conference on user modeling, Sonthofen, Germany. LNCS, vol 2109. Springer, Berlin, pp 280–282
Heckmann D, Krueger A (2003) A user modeling markup language (UserML) for ubiquitous computing. In: Proc the 9th international conference on user modeling, Johnstown, Pennsylvania, USA, pp 393–397
Hendler J (2008) Web 3.0: chicken farms on the semantic web. Computer 41(1):106–108
Henricksen K, Indulska J, Rakotonirainy A (2002) Modeling context information in pervasive computing systems. In: Proc the 1st international conference on pervasive computing, Zurich, Switzerland. LNCS, vol 2414. Springer, Berlin, pp 167–180
Hu J, Zhong N (2006) Organizing multiple data sources for developing intelligent e-business portals. Data Min Knowl Discov 12(2–3):127–150
Huang RH, Ma JH (2009) Homelog based kid’s activity awareness. In: Proc the 2009 computation world: future computing, service computation, cognitive, adaptive, content, patterns, Athens, Greece, pp 591–596
IBM (2010) Smarter planet. http://www.ibm.com/smarterplanet/us/en/overview/ideas/index.html
Irwin W, Anderle MJ, Abererombie HC, Schaefer Stacey M, Kalin NH, Davidson RJ (2004) Amygdalar interhemispheric functional connectivity differs between the non-depressed and depressed human brain. NeuroImage 21(2):674–86
Kim E, Choi J (2006) An ontology-based context model in a smart home. In: Proc the 2006 international conference on computational science and its applications (ICCSA 2006), pp 11–20
Ko EJ, Lee HJ, Lee JW (2007) Ontology-based context modeling and reasoning for U-HealthCare. IEICE Trans Inf Syst E90-D(8):1262–1270
Kunii TL, Ma JH, Huang RH (1996) Hyperworld modeling. In: Proc the international conference on visual information systems (VIS’96), pp 1–8
Landwehr CE (2005) Green computing. IEEE Secur Priv 3(6):3
Lassila O, Hendler J (2007) Embracing “Web 3.0”. IEEE Internet Computing 11(3):90–93
Li WB, Zhong N, Yao YY, Liu JM (2009) An operable email based intelligent personal assistant. World Wide Web 12(2):125–147
Liang PP, Yang YH, Lu SF, Li KC, Zhong N (2009) 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
Liang PP, Zhong N, Lu SF, Liu JM (2010) ERP characteristics of sentential inductive reasoning in time and frequency domains. Cogn Syst Res 11(1):67–73
Liu JM, Zhong N, Yao YY, Ras ZW (2003) The wisdom web: new challenges for web intelligence (WI). J Intell Inf Syst 20(1):5–9
Liu J (2003) Web intelligence (WI): what makes wisdom web. In: Proc eighteenth international joint conference on artificial intelligence (IJCAI’03), pp 1596–1601
Liu JM, Jin X, Tsui KC (2005) Autonomy oriented computing: from problem solving to complex systems modeling. Springer, Berlin
Ma JH, Huang RH (1996) Improving human interaction with a Hyperworld. In: Proc the Pacific workshop on distributed multimedia systems (DMS’96), pp 46–50
Ma JH (2005) Smart u-Things-challenging real world complexity. In: IPSJ symposium series, vol 19, pp 146–150
Ma JH, Yang LT, Apduhan BO, Huang RH, Barolli L, Takizawa M (2005) 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
Ma JH (2005) Smart u-Things and ubiquitous intelligence. In: Proc the 2nd international conference on embedded software and systems (ICESS 2005), p 776
Ma JH, Zhao QF, Chaudhary V, Cheng JD, Yang LT, Huang RH, Jin Q (2006) Ubisafe computing: vision and challenges (I). In: Proc the 3rd international conference on autonomic and trusted computing (ATC 2006), pp 386–397
Ma JH (2008) Spacelog concept and issues for novel u-Services in smart spaces. In: Proc the 2nd international conference on future generation communication and networking symposia, pp 89–92
Murray CJL, Lopez AD (1996) The global burden of disease: a comprehensive assessment of Cambridge (USA). Harvard University Press, Cambridge, pp 412–417, 445–448, 553–556, 808–811
Neocortical Microcircuit Database (2010) http://microcircuit.epfl.ch
Ogle R (2007) Smart world: breakthrough creativity and the new science of ideas. Harvard Business School Press, Boston
Olfactory Receptor Database (2010) http://senselab.med.yale.edu/ORDB/default.asp
O’REILLY T (2005) What is Web 2.0, http://www.oreilly.com/pub/a/oreilly/tim/news/2005/09/30/what-is-web-20.html
O’REILLY T (2007) What is Web 2.0: design patterns and business models for the next generation of software. Communications & Strategies 1:17–37
Posse S, Fitzgerald D, Gao K, Habel U, Rosenberg D, Moore GJ, Schneider F (2003) Real-time fMRI of temporolimbic regions detects amygdala activation during single-trial self-induced sadness. NeuroImage 18(3):760–768
Seiho H (2004) A couple responding to children’s problems. Child Psychol 805
Singh MP, Huhns MN (2005) Service-oriented computing. Wiley, New York
Stirbu V (2008) Towards a RESTful plug and play experience in the web of things. In: Proc the 2008 IEEE international conference on semantic computing, pp 512–517
Su YL, Zheng L, Zhong N, Liu CN, Liu JM (2005) Distributed reasoning based on problem solver markup language (PSML)—a demonstration through extended OWL. In: Proc the 2005 IEEE international conference on e-technology, e-commerce and e-service (EEE’05), pp 208–213
Takata K, Ma JH, Apduhan BO (2006) A dangerous location aware system for assisting kids safety care. In: Proc the 20th international conference on advanced information networking and applications (AINA’06), pp 657–662
Tian PW, Zhang YX, Zhou YZ, Yang LT, Zhong M, Weng LK, Wei L (2009) A novel service evolution approach for active services in ubiquitous computing. Int J Commun Syst 22(9):1123–1151
Vildjiounaite E, Kocsis O, Kyllonen V, Kladis B (2007) Context-dependent user modelling for smart homes. In: Proc the 11th international conference on user modeling (UM 2007), pp 345–349
Wang X, Chen G (2003) Complex network: small-world, scale-free and beyond. IEEE Circuits Syst Mag 3(2):6–20
Wang XH, Zhang DQ, Gu T, Pung HK (2004) Ontology based context modeling and reasoning using OWL. In: Proc the 2nd IEEE annual conference on pervasive computing and communications workshops, Orlando, Florida, USA. IEEE CS Press, Los Alamitos, pp 18–22
Warren PW (2004) From ubiquitous computing to ubiquitous intelligence. BT Technol J 22(2):28–38
Weiser M (1991) The computer for the 21st century. Sci Am 265(3):66–75
Weiser M (1993) Some computer science issues in ubiquitous computing. Commun ACM 36(7):75–84
Welbourne E, Battle L, Cole G, Gould K, Rector K, Raymer S, Balazinska M, Borriello G (2009) Building the Internet of things using RFID. IEEE Internet Comput 33(3):48–55
Wen J, Ming K, Wang FR, Huang BX, Ma JH (2009) Cyber-I: vision of the individual’s counterpart on cyberspace. In: Proc the 8th IEEE international conference on dependable, autonomic and secure computing, pp 295–302
Williams J, Curtis L (2008) Green: the new computing coat of arms. IT Prof 10(1):12–16
Xu WJ (2007) New approaches in epidemiology and treatment of depression: with a case report. The Medicine of Zhejinag University (Psychiatry)
Yao YY (1999) Granular computing: basic issues and possible solutions. In: Proc the 5th joint conference on information sciences (1999), pp 186–189
Yao YY, Zhong N, Liu J, Ohsuga S (2001) Web intelligence (WI): research challenges and trends in the new information age. In: Zhong N, Yao YY, Liu J, Ohsuga S (eds) Web intelligence: research and development. LNAI, vol 2198. Springer, Berlin, pp 1–17
Yao YY, Zhong N (2009) Granular computing. In: The encyclopedia of computer science and engineering, vol 3. Wiley, New York, pp 1446–1453
Zeng Y, Wang Y, Huang ZS, Zhong N (2009) Unifying web-scale search and reasoning from the viewpoint of granularity. In: Proc the 2009 international conference on active media technology. LNCS, vol 5820. Springer, Berlin, pp 418–429
Zeng Y, Zhong N, Wang Y, Qin YL, Huang ZS, Zhou HY, Yao YY, Harmelen FV (2010) User-centric query refinement and processing using granularity based strategies. Knowl Inf Syst (in press). doi:10.1007/s10115-010-0298-8
Zhang YX, Fang CH (2005) Actives services concepts, architecture and implementation. Thomson Learning Press, Washington
Zhang YX, Zhou YZ (2006) Transparent computing: a new paradigm for pervasive computing. In: Proc the 3rd international conference on ubiquitous intelligence and computing (UIC 2006), pp 1–11
Zhang YX, Yang LT, Zhou YZ, Kuang WY (2010) Information security underlying transparent computing: impacts, visions and challenges. Web Intell Agent Syst 8(2):203–217
Zhong N, Liu JM, Yao YY, Ohsuga S (2000) Web intelligence (WI). In: Proc the 24th IEEE computer society international computer software and applications conference (COMPSAC 2000), pp 469–470
Zhong N, Liu JM, Yao YY (2002) In search of the Wisdom Web. IEEE Comput 35(11):27–31
Zhong N, Liu JM, Yao YY (2003) Web intelligence (WI): a new paradigm for developing the Wisdom Web and social network intelligence. In: Web intelligence. Springer, Berlin, pp 1–16
Zhong N, Liu JM, Yao YY (eds) (2003) Web intelligence. Springer, Berlin
Zhong N (2005) Building a Brain-informatics portal on the Wisdom Web with a multi-layer grid: a new challenge for web intelligence research. In: Torra V, Narukawa Y, Miyamoto S (eds) Modeling decisions for artificial intelligence. LNAI, vol 3558. Springer, Berlin, pp 24–35
Zhong N (2006) Impending Brain Informatics research from Web intelligence perspective. Int J Inf Technol Decis Making 5(4):713–727
Zhong N, Liu JM, Yao YY, Wu JL, Lu SF, Qin YL, Li KC, Wah B (2006) Web Intelligence meets Brain Informatics. In: Zhong N et al (ed) Web Intelligence meets Brain Informatics. LNCS, Sate-of-the-Art Survey, vol 4845. Springer, Berlin, pp 1–31
Zhong N, Liu JM, Yao YY (2007) Envisioning intelligent information technologies through the prism of web intelligence. Commun ACM 50(3):89–94
Zhong N (2007) Ways to develop human-level web intelligence: a Brain Informatics perspective. In: Franconi E, Kifer M, May W (eds) The semantic web: research and applications. LNCS, vol 4519. Springer, Berlin, pp 27–36
Zhong N, Liu JM, Yao YY (2009) Web intelligence (WI). In: The encyclopedia of computer science and engineering, vol 5. Wiley, New York, pp 3062–3072
Zhong N, Liang PP, Qin YY, Lu SF, Yang YH, Li KC (2009) 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
Zhou YZ, Zhang YX (2010) Transparent computing: concepts, architecture, and implementation. Cengage Learning, Stamford
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Zhong, N., Ma, J.H., Huang, R.H. et al. Research challenges and perspectives on Wisdom Web of Things (W2T). J Supercomput 64, 862–882 (2013). https://doi.org/10.1007/s11227-010-0518-8
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DOI: https://doi.org/10.1007/s11227-010-0518-8