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Generic UIs for Requesting Complex Products Within Distributed Market Spaces in the Internet of Everything

  • Michael HitzEmail author
  • Mirjana Radonjic-Simic
  • Julian Reichwald
  • Dennis Pfisterer
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9817)

Abstract

Distributed Market Spaces (DMS), refer to an exchange environment in emerging Internet of Everything, that supports users in making transactions of complex products; a novel type of products made up of different products and/or services that can be customized to better fit the individual context of the user. In order to express their demand for a particular complex product in a way that is interpretable by the DMS, users need flexible User Interfaces (UIs) that allow context-focused data collection related to the complexity of the user’s demand. This paper proposes a concept for generic UIs that enables users to compose their own UIs for requesting complex products, by combining existing UI descriptions for different parts of the particular complex product, as well as to share and improve UI descriptions among other users within the markets.

Keywords

Automatic user interface generation Semantic web Internet of Everything User Interface Ontologies Commercial exchange Distributed Market Spaces Complex products 

References

  1. 1.
    Abrams, M., Phanouriou, C., Batongbacal, A.L., Williams, S.M., Shuster, J.E.: UIML: an appliance-independent XML user interface language. In: WWW 1999 Proceedings of the Eighth International Conference on World Wide Web, pp. 1695–1708 (1999)Google Scholar
  2. 2.
    Akerlof, G.A.: The market for lemons: quality uncertainty and the market mechanism. Q. J. Econ. 84, 488–500 (1970)CrossRefGoogle Scholar
  3. 3.
    Cisco: The internet of everything for cities (2013). http://www.cisco.com/web/about/ac79/docs/ps/motm/IoE-Smart-City_PoV.pdf
  4. 4.
    Coutaz, J.: User interface plasticity: model driven engineering to the limit! In: EICS 2010 Proceedings of the 2nd ACM SIGCHI Symposium on Engineering Interactive Computing Systems, No. Eics, pp. 1–8 (2010)Google Scholar
  5. 5.
    Dubinko, M., Klotz, L., Merrik, R., Raman, T.: XForms 1.0 W3C Recommendation (2003). http://www.w3.org/TR/xforms
  6. 6.
    El Sawy, O.A., Pereira, F.: Business Modelling in the Dynamic Digital Space: An Ecosystem Approach. Springer, Heidelberg (2013)CrossRefGoogle Scholar
  7. 7.
    Fedortsova, I., Brown, G.: JavaFX Mastering FXML, Release 8 (2014). http://docs.oracle.com/javase/8/javafx/fxml-tutorial/preface.htm
  8. 8.
    García-Gómez, S., Jimenez-Ganan, M., Taher, Y., Momm, C., Junker, F., Biro, J., Menychtas, A., Andrikopoulos, V., Strauch, S.: Challenges for the comprehensive management of cloud services in a paas framework. Scalable Comput. Pract. Exp. 13(3), 201–213 (2012)Google Scholar
  9. 9.
    Gaulke, W., Ziegler, J.: Using profiled ontologies to leverage model driven user interface generation. In: Proceedings of the 7th ACM SIGCHI Symposium on Engineering Interactive Computing Systems - EICS 2015, pp. 254–259 (2015)Google Scholar
  10. 10.
    Hitz, M.: mimesis: Ein datenzentrierter Ansatz zur Modellierung von Varianten für Interview-Anwendungen. In: Nissen, V., Stelzer, D., Straßburger, S., Fischer, D. (eds.) Proceedings - Multikonferenz Wirtschaftsinformatik (MKWI) 2016, vol. 4, pp. 1155–1165 (2016)Google Scholar
  11. 11.
    Hitz, M., Kessel, T.: mimesis: a data-centric approach for generating user interfaces for interview applications using ontologies. Unpublished - in consideration (2016)Google Scholar
  12. 12.
    Khushraj, D., Lassila, O.: Ontological approach to generating personalized user interfaces for web services. In: Gil, Y., Motta, E., Benjamins, V.R., Musen, M.A. (eds.) ISWC 2005. LNCS, vol. 3729, pp. 916–927. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  13. 13.
    Kleedorfer, F., Busch, C.M.: Beyond data: building a web of needs. In: Proceedings of the WWW 2013 Workshop on Linked Data on the Web (2013)Google Scholar
  14. 14.
    Kleedorfer, F., Busch, C.M., Pichler, C., Huemer, C.: The case for the web of needs. In: 2014 IEEE 16th Conference on Business Informatics (CBI), vol. 1, pp. 94–101. IEEE (2014)Google Scholar
  15. 15.
    Liu, B., Chen, H., He, W.: Deriving user interface from ontologies: a model-based approach. In: Proceedings of the International Conference on Tools with Artificial Intelligence, ICTAI 2005, pp. 254–259 (2005)Google Scholar
  16. 16.
    Pascalau, E.: Mashups: behavior in Context(s). In: Proceedings of 7th Workshop on Knowledge Engineering and Software Engineering (KESE7) (2011)Google Scholar
  17. 17.
    Paterno, F., Santoro, C., Spano, L.D.: Maria: a universal, declarative, multiple abstraction-level language for service-oriented applications in ubiquitous environment. ACM Trans. Comput. Hum. Interact. 16(4), Article ID 19, 30 pages (2009)Google Scholar
  18. 18.
    Pfisterer, D., Radonjic-Simic, M., Reichwald, J.: Business model design and architecture for the internet of everything. J. Sens. Actuator Netw. 5(2), 7 (2016)CrossRefGoogle Scholar
  19. 19.
    Popp, R., Falb, J., Arnautovic, E., Kaindl, H., Kavaldjian, S., Ertl, D., Horacek, H., Bogdan, C.: Automatic generation of the behavior of a user interface from a high-level discourse model. In: Proceedings of the 42nd Annual Hawaii International Conference on System Sciences, HICSS (2009)Google Scholar
  20. 20.
    Raneburger, D., Kaindl, H., Popp, R., Šajatovi, V., Armbruster, A.: A process for facilitating interaction design through automated GUI generation. In: SAC 2014 Proceedings of the 29th Annual ACM Symposium on Applied Computing, pp. 1324–1330. ACM, New York (2014)Google Scholar
  21. 21.
    Sahar, A., Armin, B., Shepherd, H., Lexing, L.: ActiveRaUL: automatically generated web interfaces for creating RDF data 0, In: Proceedings of 12th International Semantic Web Conference ISWC 2013, Vol. 1035, pp. 117–120 (2013)Google Scholar
  22. 22.
    Searls, D.: The Intention Economy: When Customers Take Charge. Harvard Business Press, Massachusetts (2013)Google Scholar
  23. 23.
    W3C: Rdf 1.1 turtle (2014). http://www.w3.org/TR/turtle/
  24. 24.
    W3C: Resource description framework (rdf) (2015). http://www.w3.org/RDF/

Copyright information

© IFIP International Federation for Information Processing 2016

Authors and Affiliations

  • Michael Hitz
    • 1
    Email author
  • Mirjana Radonjic-Simic
    • 2
  • Julian Reichwald
    • 2
  • Dennis Pfisterer
    • 3
  1. 1.Baden-Wuerttemberg Cooperative State University StuttgartStuttgartGermany
  2. 2.Baden-Wuerttemberg Cooperative State University MannheimMannheimGermany
  3. 3.Institute of Telematics, University of LübeckLübeckGermany

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