Context Modeling for Device- and Location-Aware Mobile Web Applications
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1 Context Modeling for Device- and Location-Aware Mobile Web Applications Michael Hinz, Zoltán Fiala Dresden University of Technology (Germany) Heinz-Nixdorf Endowed Chair for Multimedia Technology PERVASIVE 2005, Workshop PERMID 2005, May 11th 2005
2 Structure Motivation / Introduction Context modeling components Device Modeling Location Modeling Users Preference Modeling Integration into a context aware system architecture Conclusion and Future Work 2
3 Motivation / Introduction Trends Personalization of information Variety of mobile devices Developing personalized applications for the ubiquitous Web Providing personalized user interfaces addressing heterogeneous capabilities of device classes Existing approaches restricted to one adaptation scenario (device independence, personalization, LBS) only the modeling of context information, not on the usage Requirements: gathering, processing and sophisticated representing of context information, so that it can be used for adapting Web applications 3
4 Overview Context Data User Properties Usage Data Device Properties Location Context Modeling Context Model IdentificationProf. PreferenceProfile DeviceProfile EnvironmentProf. Adaptation Adaptation Effect Personalization Device Independence Location Awareness 4
5 Device Modeling Acquiring Device Capabilities UserAgent UAProf enabled device client side code Client/Server Communication Device Repository device profile request device profile response DELI framework Update Device Context Device Modeling Device Profile Context Model updated device capabilities (UAProf) 5
6 Location Modeling Acquire Position or Mobile Identification JSR 179 Mobile Identification (MSID ) Location Requester location request (MLP) location response (MLP) Client/Server Communication mobile identification Location Modeling Location Requester Location Server (locating / authentication / authorization) location request (MLP) location response (MLP) Location Context Update location response (MLP) extended location response updated client location (MLP) Context Model Landmark Server Environment Profile 6
7 Users Preference Modeling Preference Rules [ ((medium User Events picture) Λ (medium text) nointerest), ((category Preference Picture maximized Rules action) [ picture, nointerest), action interest ] (default [ Text (default enlarged interest) nointerest) [ text, ] action ] interest ] 7
8 Integration into a Web system Request Device Properties / UAProf Device Modeling Context Modeling Location Modeling User Modeling User Interactions update Device Profile Context Model Location Profile update User Profile </alay:layoutmanager> </amet:layoutproperties> </aco:metainformation> <aco:variants> <aco:variant name="variant1" la <aco:metainformation> <amet:layoutpropertie <alay:layoutmana <alay:overlay <alay:co <alay:co </alay:overla </alay:layoutman </amet:layoutpropertie </aco:metainformation> <aco:subcomponents> <aco:amaimagecompo <aco:metainforma <amet:metad <amet:metad Component <b>ope </amet:metad Repository </aco:metainforma Input Doc. contains all variants and adaptation options Transform adaptation to context model properties Transform adaptation according to user preferences Rendering XHTML.full XHTML.basic XHTML.MP WML Pipeline-based Document Generation 8
9 Conclusion / Future Work Different context modeling components for different adaptation scenarios Personalization, device independence, LBS Integration into a context aware system architecture Generic support for integrating arbitrary context modeling components Performance aspects of the overall system architecture Modular framework for design and development of adaptive Web applications in different stages of an authoring process 9
10 Prototyp 10
11 Users Preference Modeling client side code (e.g. JavaScript, JAVA, JScript) Acquire User Interactions Client/Server Communication Evaluation Resolver User Modeling Is instance example for existing rules? Rule Calculation Device Profile updated user preference rules Context Model 11
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