[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ Skip to main content
Springer Nature Link
Log in

Immersing citizens and things into smart cities: a social machine-based and data artifact-driven approach

  • Published:
Computing Aims and scope Submit manuscript

Abstract

This paper presents an approach for allowing the transparent co-existence of citizens and IoT-compliant things in smart cities. Considering the particularities of each, the approach embraces two concepts known as social machines and data artifacts. On the one hand, social machines act as wrappers over applications (e.g., social media) that allow citizens and things to have an active role in their cities by reporting events of common interest to the population, for example. On the other hand, data artifacts abstract citizens’ and things’ contributions in terms of who has done what, when, where, and why. For successful smart cities, the approach relies on the willingness and engagement of both citizens and things. Smart cities’ initiatives are embraced and not imposed. A case study along with a testbed that uses a real dataset about car-traffic accident in a state in Brazil demonstrate the technical doability and scalability of the approach. The evaluation consists of assessing the time to drill into the different generated data artifacts prior to generating useful details for decision makers.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
£29.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (United Kingdom)

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

Explore related subjects

Discover the latest articles, news and stories from top researchers in related subjects.

Notes

  1. www.gartner.com/newsroom/id/3165317.

  2. www.asianscientist.com/2017/04/tech/crowdsourcing-traffic-violation-road-safety.

  3. https://data.oecd.org/popregion/urban-population-by-city-size.htm.

  4. www.prf.gov.br/portal/dados-abertos/acidentes.

References

  1. Almeida V, Doneda D, da Costa EM (2018) Humane smart cities: the need for governance. IEEE Internet Comput 22(2):91–95

    Article  Google Scholar 

  2. Badr Y, Narendra N, Maamar Z (2011) Business artifacts for e-business interoperability. In: Kajan E (ed) Electronic business interoperability: concepts, opportunities and challenges. IGI Global Publishing, Hershey, pp 15–36

    Chapter  Google Scholar 

  3. Bellavista P, Corradi A, Stefanelli C (2002) The ubiquitous provisioning of internet services to portable devices. IEEE Pervasive Comput 1(3):81–87

    Article  Google Scholar 

  4. Burégio V, Maamar Z, de Lemos R, Meira S (2015) An architecture and guiding framework for the social enterprise. IEEE Internet Comput 19(1):64–68

    Article  Google Scholar 

  5. Carlos E, Francisco F, Agusti S, Hector P, Saleem Z, Federico G (2014) Smart government: opportunities and challenges in smart cities development. In: Dolićanin Ć, Kajan E, Randjelović D, Stojanović B (eds) Democratic strategies and citizen-centered E-government services. IGI Global, Hershey, pp 1–19

    Google Scholar 

  6. Celino I, Kotoulas S (2013) Smart cities [Guest editors’ introduction]. IEEE Internet Comput 17(6):8–11

    Article  Google Scholar 

  7. Chourabi H, Nam T, Walker S, Gil-Garcia J, Mellouli S, Nahon K, Pardo T, Scholl H (2012) Understanding Smart Cities: an integrative framework. In: Proceedings of the 45th Hawaii international conference on system sciences (HICSS’2012), pp 2289–2297

  8. Damaggio E, Hull R, Vaculín R (2013) On the equivalence of incremental and fixpoint semantics for business artifacts with guard-stage-milestone lifecycles. Inf Syst 38(4):561–584

    Article  Google Scholar 

  9. Denktaş-Şakar G, Sürücü E (2018) Stakeholder engagement via social media: an analysis of third-party logistics companies. Serv Ind J. https://doi.org/10.1080/02642069.2018.1561874

    Article  Google Scholar 

  10. Farzan R, DiMicco JM, Millen DR, Brownholtz B, Geyer W, Dugan C (2008) Results from deploying a participation incentive mechanisms within the entrerprise. In: Proceedings of the conference on human factors in computing systems (CHI’2008), Florence

  11. Imran M, Elbassuoni S, Castillo C, Diaz F, Meier P (2013) Practical extraction of disaster-relevant information from social media. In: Proceedings of the 22nd international conference on World Wide Web (WWW’2013 companion), Rio de Janeiro

  12. Janssen M, van den Hoven J (2015) Big and Open Linked Data (BOLD) in government: A challenge to transparency and privacy? Government Inf Q 32(4):363–368

    Article  Google Scholar 

  13. Janssen M, Konopnicki D, Snowdon JL, Ojo A (2017) Driving public sector innovation using big and open linked data (BOLD). Inf Syst Front 19(2):189–195. https://doi.org/10.1007/s10796-017-9746-2

    Article  Google Scholar 

  14. Kogan N, Lee K (2014) Exploratory research on success factors and challenges of smart city projects. Asia Pac J Inf Syst 24(2):141–189

    Google Scholar 

  15. Kollock P (1999) The economies of online cooperation: gifts and public goods in cyberspace. In: A SM, Kollock P (eds) Communities in cyberspace. Routledge, London, pp 220–239

    Google Scholar 

  16. Kuk G, Janssen M (2011) The business models and information architectures of smart cities. J Urban Technol 18(2):39–52

    Article  Google Scholar 

  17. Lee J, Lee H (2014) Developing and validating a citizen-centric typology for smart city services. Government Inf Q 31:S93–S105

    Article  Google Scholar 

  18. Li S, Xu LD, Zhao S (2015) The internet of things: a survey. Inf Syst Front 17(2):243–259. https://doi.org/10.1007/s10796-014-9492-7

    Article  Google Scholar 

  19. Licklider J (1960) Man–computer symbiosis. IRE Trans Hum Factors Electron HFE 1(1):4–11

    Article  Google Scholar 

  20. Lowndes V, Pratchett L, Stoker G (2006) Diagnosing and remedying the failings of official participation schemes: the CLEAR framework. Soc Policy Soc 5(2):281–291

    Article  Google Scholar 

  21. Maamar Z, Wives LK, Badr Y, Elnaffar S (2009) Even web services can socialize: a new service-oriented social networking model. In: Proceedings of the 2009 international conference on intelligent networking and collaborative systems (INCOS’2009), Barcelona

  22. Maamar Z, Burégio V, Sellami S, Souto Rosa N, Peng Z, Subin Z, Prakash N, Benslimane D, Silva R (2017) Bridging the gap between the business and social worlds: a data artifact-driven approach. Trans Large Scale Data Knowl Center Syst 35:27–49

    Google Scholar 

  23. Maamar Z, Faci N, Boukadi K, Ugljanin E, Sellami M, Baker T, Angarita R (2018) How to agentify the internet-of-things? In: Proceedings of the IEEE 12th international conference on research challenges in information science (RCIS’2018), Rennes

  24. Militano L, Nitti M, Atzori L, Iera A (2016) Enhancing the navigability in a social network of smart objects: a shapley-value based approach. Comput Netw 103:1–14

    Article  Google Scholar 

  25. Miranda J, Mäkitalo N, García-Alonso J, Berrocal J, Mikkonen T, Canal C, Murillo JM (2015) From the internet of things to the internet of people. IEEE Internet Comput 19(2):40–47

    Article  Google Scholar 

  26. Mitchell W (2007) Intelligent cities. http://www.uoc.edu/uocpapers/5/dt/eng/mitchell.pdf

  27. Montemayor J, Diehl CP (2011) Social query: looking for social signals from online artifacts. Johns Hopkins APL Tech Digest 30(1):41–46

    Google Scholar 

  28. Nam T, Pardo T (2011) Conceptualizing smart city with dimensions of technology, people, and institutions. In: Proceedings of the 12th annual international digital government research conference: digital government innovation in challenging times (Dg.o’2011), College Park, MD

  29. Nigam A, Caswell N (2003) Business artifacts: an approach to operational specification. IBM Syst J 42(3):428–445

    Article  Google Scholar 

  30. Pedrinaci C, Domingue J (2010) Toward the next wave of services: linked services for the web data. J Univ Comput Sci 16(13):1694–1719

    Google Scholar 

  31. Popova V, Fahland D, Dumas M (2015) Artifact lifecycle discovery. Int J Coop Inf Syst 24(1):1550001

    Article  Google Scholar 

  32. Pticek M, Podobnik V, Jezic G (2016) Beyond the internet of things: the social networking of machines. Int J Distrib Sensor Netw 12(6):8178417

    Article  Google Scholar 

  33. Rana NP, Luthra S, Mangla SK, Islam R, Roderick S, Dwivedi YK (2018) Barriers to the development of smart cities in indian context. Inf Syst Front. https://doi.org/10.1007/s10796-018-9873-4

    Article  Google Scholar 

  34. Rosenberger M, Lehrer C, Jung R (2017) Integrating data from user activities of social networks into public administrations. Inf Syst Front 19(2):253–266. https://doi.org/10.1007/s10796-016-9682-6

    Article  Google Scholar 

  35. Schaffers H, Komninos N, Pallot M, Trousse B, Nilsson M, Oliveira A (2011) Smart cities and the future internet: towards cooperation frameworks for open innovation. In: Proceedings of the future internet assembly 2011: achievements and technological promises, Budapest, pp 431–446

  36. Schall D, Dustdar S, Blake M (2010) Programming human and software-based web services. Computer 43(7):82–85

    Article  Google Scholar 

  37. Shadbolt N (2013) Knowledge acquisition and the rise of social machines. Int J Hum Comput Stud 71(2):200–205

    Article  Google Scholar 

  38. Surucu-Balci E, Balci G, Yuen K (2020) Social media engagement of stakeholders: a decision tree approach in container shipping. Comput Ind 115:103152

    Article  Google Scholar 

  39. Taivalsaari A, Mikkonen T (2017) A roadmap to the programmable world: software challenges in the IoT era. IEEE Softw 34(1):72–80

    Article  Google Scholar 

  40. Vanolo A (2014) Smartmentality: the smart city as disciplinary strategy. Urban Stud 51(5):883–898

    Article  Google Scholar 

  41. Vanolo A (2016) Is there anybody out there? The place and role of citizens in tomorrow’s smart cities. Futures 82:26–36

    Article  Google Scholar 

  42. Washburn D, Sindhul U, Balaouras S, Dines R, Hayes N, Nelson L (2009) Helping CIOs understand “Smart City” initiatives: defining the smart city, its drivers, and the role of the CIO. https://www-935.ibm.com/services/c-suite/att/doc/forrester_help_cios_smart_city.pdf

  43. Weiser M (1999) The computer for the 21st century. ACM SIGMOBILE Mob Comput Commun Rev 3(3):3–11

    Article  Google Scholar 

  44. Xu X, Pautasso C, Zhu L, Gramoli V, Ponomarev A, Tran A, Chen S (2016) The blockchain as a software connector. In: Proceedings of the 13th working IEEE/IFIP conference on software architecture (WICSA’2016), Venice

  45. Yeh H (2017) The effects of successful ICT-based smart city services: from citizens’ perspectives. Government Inf Q 34(3):556–565

    Article  Google Scholar 

  46. Yin C, Xiong Z, Chen H, Wang JY, Cooper D, David B (2015) A literature survey on smart cities. Sci China Inf Sci 58(10):1–18

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. State University of Novi Pazar, Novi Pazar, Serbia

    Emir Ugljanin & Ejub Kajan

  2. Zayed University, Dubai, UAE

    Zakaria Maamar

  3. National University of Computer and Emerging Sciences, Islamabad, Pakistan

    Muhammad Asim

  4. Federal Rural University of Pernambuco, Recife, Brazil

    Vanilson Burégio

Authors
  1. Emir Ugljanin
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ejub Kajan
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Zakaria Maamar
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Muhammad Asim
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Vanilson Burégio
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ejub Kajan.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ugljanin, E., Kajan, E., Maamar, Z. et al. Immersing citizens and things into smart cities: a social machine-based and data artifact-driven approach. Computing 102, 1567–1586 (2020). https://doi.org/10.1007/s00607-019-00774-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00607-019-00774-9

Keywords

Mathematics Subject Classification

Search

Navigation