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Adaptive Reactive Rich Internet Applications

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Web 2.0 & Semantic Web

Part of the book series: Annals of Information Systems ((AOIS,volume 6))

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Abstract

Rich Internet Applications significantly raise the user experience compared with legacy page-based Web applications because of their highly responsive user interfaces. Although this is a tremendous advance, it does not solve the problem of the one-size-fits-all approach1 of current Web applications. So although Rich Internet Applications put the user in a position to interact seamlessly with the Web application, they do not adapt to the context in which the user is currently working. In this paper we address the on-the-fly personalization of Rich Internet Applications. We introduce the concept of ARRIAs: Adaptive Reactive Rich Internet Applications and elaborate on how they are able to adapt to the current working context the user is engaged in. An architecture for the ad hoc adaptation of Rich Internet Applications is presented as well as a holistic framework and tools for the realization of our on-the-fly personalization approach. We divided both the architecture and the framework into two levels: offline/design-time and online/run-time. For design-time we explain how to use ontologies in order to annotate Rich Internet Applications and how to use these annotations for conceptual Web usage mining. Furthermore, we describe how to create client-side executable rules from the semantic data mining results. We present our declarative lightweight rule language tailored to the needs of being executed directly on the client. Because of the event-driven nature of the user interfaces of Rich Internet Applications, we designed a lightweight rule language based on the event–condition–action paradigm.2 At run-time the interactions of a user are tracked directly on the client and in real-time a user model is built up. The user model then acts as input to and is evaluated by our client-side complex event processing and rule engine.

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Notes

  1. 1.

    http://www.adobe.com/products/flex

  2. 2.

    http://www.voecklabruck.at

  3. 3.

    Our notion of an event hierarchy differs from David Luckham’s as he denotes the complex event patterns, the first part of the ECA rules, as event hierarchy arguing that the complex event patterns constitute a hierarchy of events with the simple events at the bottom constructing the complex events at the top.

  4. 4.

    support: 0,01; confidence: 0,85

  5. 5.

    http://pellet.owldl.org/

  6. 6.

    http://www.microsoft.com/windows/products/winfamily/ie/default.mspx

  7. 7.

    http://www.mozilla.com/en-US/firefox/

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Acknowledgements

The work is based on research done within the FIT project - Fostering self-adaptive e-Government service improvement using semantic technologies. The FIT project is cofunded by the European Commission under the “Information Society Technologies” Sixth Framework Program (2002–2006).

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Authors and Affiliations

  1. SAP Research CEC Karlsruhe, Vincenz-Prießnitz-Straße 1, 76131, Karlsruhe, Germany

    Kay-Uwe Schmidt, Roland Stühmer, Jörg Dörflinger, Tirdad Rahmani & Susan Thomas

  2. FZI Forschungszentrum Informatik, Haid-und-Neu-Straße 10-14, 76131, Karlsruhe, Germany

    Ljiljana Stojanovic

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  1. Kay-Uwe Schmidt
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  6. Ljiljana Stojanovic
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Correspondence to Kay-Uwe Schmidt .

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  1. School of Business Administration, University of Belgrade, Jove Ilica 154, Belgrade, 11000, Serbia

    Vladan Devedžić

  2. School of Computing &, Athabasca University, University Drive 1, Athabasca, T9S 3A3, Canada

    Dragan Gaševic

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Schmidt, KU., Stühmer, R., Dörflinger, J., Rahmani, T., Thomas, S., Stojanovic, L. (2010). Adaptive Reactive Rich Internet Applications. In: Devedžić, V., Gaševic, D. (eds) Web 2.0 & Semantic Web. Annals of Information Systems, vol 6. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-1219-0_4

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