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The conceptual model of context for mobile commerce applications

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Abstract

Mobile commerce applications adhering to anytime and anywhere paradigm, required to be flexible. They should be able to adapt their interface, services and content towards a certain context. Several proposals for definition of context have been already proposed originating from various areas related to mobile commerce. However, an integrated, formal and methodological approach for the determination and representation of context, adjusted to special characteristics of mobile commerce applications, has not been insofar presented. This is the challenge we address in this paper, through a conceptual model that includes: i) a clear and formal definition of context, ii) the depiction of its specific characteristics as metadata, iii) a methodology for its determination and iv) the presentation of an extension of class diagrams of UML for its representation, all of them tailored to the special nature of mobile commerce applications.

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References

  1. Avery, C., & Zeckhauser, R. (1997). Recommender systems for evaluating computer messages. Communications of the ACM, 40(3), 88–89.

    Article  Google Scholar 

  2. Badrinath, B., Fox, A., Kleinrock, L., Popek, G., Reiher, P., & Satyanarayanan, M. (2000). A conceptual framework for network and client adaptation. IEEE Mobile Networks and Applications (MONET), 5(4), 221–231.

    Article  Google Scholar 

  3. Benou, P., & Bitos, V. (2008). Developing mobile commerce applications. Journal of Electronic Commerce in Organizations, 6(1), 63–78.

    Google Scholar 

  4. Brown, J., Bovey, J., & Chen, X. (1997). Context-aware applications: from the laboratory to the marketplace. IEEE Personal Communication, 4(5), 58–64.

    Article  Google Scholar 

  5. Cockburn, A. (1997). Structuring use cases with goals. Journal of Object Oriented Programming, 10(5), 35–40.

    Google Scholar 

  6. Dey, A., & Abowd, G. (1999). Towards a better understanding of context and context-awareness. Technical Report 99-22, Georgia Institute of Technology.

  7. Good, M., Whiteside, J., Wixon, D., & Jones, S. (1984). Building a user-derived interface. Communications of the ACM (CACM), 27(10), 1032–1043.

    Article  Google Scholar 

  8. Gray, P., & Salber, D. (2001). Modelling and using sensed context in the design of interactive applications. In 8th IFIP conference on engineering for human-computer interaction. Toronto.

  9. Henricksen, K., Indulska, J., & Rakotonirainy, A. (2002). Modeling context information in pervasive computing systems. In F. Mattern, & M. Naghsineh (Eds.), Lecture notes in computer science : Vol. 2414. 1st international conference on pervasive computing (Pervasive) (pp. 167–180). Berlin: Springer.

    Google Scholar 

  10. Honle, N., Kappeler, P., Nicklas, D., Schwarz, T., & Grossmann, M. (2005). Benefits of integrating meta data into a context model. In 3rd IEEE international conference on pervasive computing and communications workshops (pp. 25–29).

  11. Pascoe, J. (1998). Adding generic contextual capabilities to wearable computers. In 2nd international symposium on wearable computers (pp. 92–99).

  12. Reichle, R., Wagner, M., Khan, M., Geihs, K., Lorenzo, J., Valla, M., Fra, C., Paspallis, N., & Papadopoulos, G. (2008). A comprehensive context modeling framework for pervasive computing systems. In Lecture notes in computer science : Vol. 5053. Proceedings of the 8th IFIP international conference on distributed applications and interoperable systems (DAIS’08) (pp. 281–295). Oslo: Springer.

    Google Scholar 

  13. Schilit, B., Adams, N., & Want, R. (1994). Context-aware computing applications. In 1st international workshop on mobile computing systems and applications (pp. 85–90).

  14. Strang, T., & Linnhoff-Popien, C. (2004). A context modeling survey. In 1st international workshop on advanced context modelling, reasoning and management.

  15. Weiser, M. (1991). The computer of the 21st century. Scientific American, 265, 66–75.

    Article  Google Scholar 

  16. Wirth, N. (1971). Program development by stepwise refinement. Communications of the ACM, 14(4), 221–227.

    Article  Google Scholar 

  17. Hoffer, J., Prescott, M., & McFadden, F. (2004). Modern database management (7th edn.). New York: Prentice Hall.

    Google Scholar 

  18. FIPA Gateways TC (2001). FIPA device ontology specification. http://www.fipa.org/specs/fipa00091/PC00091A.html.

  19. Miles, R., & Hamilton, K. (2006). Learning UML 2.0. O’Reilly Media, Inc., April 25, 2006.

  20. White, I. (1994). Rational rose essentials: using the Booch method. Redwood City: Benjamin-Cummings Publishing Company.

    Google Scholar 

  21. Kaikkonen, A., Kallio, T., Kekäläinen, A., Kankainen, A., & Cankar, E. (2005). Usability testing of mobile applications: a comparison between laboratory and field testing. Journal of Usability Studies, 1(1), 4–16.

    Google Scholar 

  22. Dunlop, M., & Brewster, S. (2002). The challenge of mobile devices for human computer interaction. Personal and Ubiquitous Computing, 6(4), 235–236.

    Article  Google Scholar 

  23. Korpipää, P., & Mäntyjärvi, J. (2003). An ontology for mobile device sensor-based context awareness’. In Lecture notes in computer science : Vol. 2680. Proceedings of CONTEXT, 2003 (pp. 451–458). Berlin: Springer.

    Google Scholar 

  24. Elmasri, R., & Navathe, S. (2003). Fundamentals of database systems (4th edn.). Reading: Addison Wesley.

    Google Scholar 

  25. National and Oceanic Atmospheric administration. National Weather Service digital weather forecast data. The service’s WSDL description is located at http://www.nws.noaa.gov/forecasts/xml/DWMLgen/wsdl/ndfdXML.wsdl.

  26. Tao Gu, X., Hang Wang, X., Pung, H. K., & Zhang, D. Q. (2004). An ontology-based context model in intelligent environments. In Proceedings of communication networks and distributed systems modeling and simulation conference (pp. 270–275).

  27. Korpipää, P., Mäntyjärvi, J., Kela, J., Keränen, H., & Malm, E. J. (2003). Managing context information in mobile devices. IEEE Pervasive Computing, 2(3), 42–51.

    Article  Google Scholar 

  28. Gandon, F., & Sadeh, N. (2004). Semantic web technologies to reconcile privacy and context awareness. Web Semantics Journal, 1(3), 241–260.

    Google Scholar 

  29. Gandon, F., & Sadeh, N. (2003). A semantic ewallet to reconcile privacy and context awareness. In Second international semantic web conference, Florida, October 2003.

  30. Sadeh, N. (2002). m-Commerce: technologies, services and business models. New York: Wiley.

    Google Scholar 

  31. Chou, S. C., Hsieh, W. T., Gandon, F., & Sadeh, N. (2005). Semantic web technologies for context-aware museum tour guide applications. In Proceedings of the 2005 international workshop on web and mobile information systems.

  32. Sheshagiri, M., Sadeh, N., & Gandon, F. (2004). Using semantic web services for context-aware mobile applications MobiSys 2004. Workshop on context awareness, Boston, June 2004.

  33. Miller, N., Judd, G., Hengartner, U., Gandon, F., Steenkiste, P., Meng, I. H., Feng, M. W., & Sadeh, N. (2004). Context-aware computing using a shared contextual information service. Pervasive 2004, “Hot Spots”, Vienna, April 2004.

  34. Koukia, S., Rigou, M., & Sirmakessis, S. (2006). The role of context in m-commerce and the personalization dimension. In Proceedings of the 2006 IEEE/WIC/ACM international conference on web intelligence and intelligent agent technology (pp. 267–276).

  35. Kurkovsky, S., Zanev, V., & Kurkovsky, A. (2005). SMMART: using context-awareness in m-commerce. In Proceedings of the 7th international conference on human computer interaction with mobile devices & services (MobileHCI ’05) (pp. 383–384).

  36. Bulander, R., Decker, M., Schiefer, G., & Kolmel, B. (2005). Comparison of different approaches for mobile advertising. In Proceedings of the 2005 second IEEE international workshop in mobile commerce and services (pp. 174–182).

  37. Looney, C., Jessup, L., & Valacich, J. (2004). Emerging business models for mobile brokerage services. Communications of the ACM, 47(6), 71–77.

    Article  Google Scholar 

  38. Kurkovsky, S., & Harihar, K. (2006). Using ubiquitous computing in interactive mobile marketing. Personal an Ubiquitous Computing, 10(4), 227–240.

    Article  Google Scholar 

  39. Brown, R., Ryu, H., & Parsons, D. (2006). Mobile helper for university students: a design for a mobile learning environment. In Proceedings of the 18th Australia conference on computer-human interaction: design activities, artefacts and environments (pp. 297–300).

  40. Katifori, A., Halatsis, C., Lepouras, G., Vassilakis, C., & Giannopoulou, E. (2007). Ontology visualization methods—a survey. ACM Computing Surveys, 39(4).

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  1. University of Peloponnese, Terma Karaiskaki, 22100, Tripoli, Greece

    Poulcheria Benou & Costas Vassilakis

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  1. Poulcheria Benou
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  2. Costas Vassilakis
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Correspondence to Poulcheria Benou.

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Benou, P., Vassilakis, C. The conceptual model of context for mobile commerce applications. Electron Commer Res 10, 139–165 (2010). https://doi.org/10.1007/s10660-010-9050-4

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