PHYSICAL DOCUMENT ADAPTATION TO USER’S CONTEXT AND USER’S PROFILE

Hassan Naderi, Béatrice Rumpler

2007

Abstract

Modern technology promises mobile users Internet connectivity anytime, anywhere, and using any device. However, given the constrained capabilities of mobile devices, the limited bandwidth of wireless networks and the varying personal preferences, effective information access requires the development of new computational patterns. The variety of mobile devices available today makes device-specific authoring of web content an expensive approach. The problem is further compounded by the heterogeneous nature of the supporting devices and the users' behaviour. This research investigates the challenges posed by these problems, and proposes a context-aware adaptation framework to bridge the gap between the existing Internet content and today's heterogeneous computing environments.

References

  1. Gimson, R. et al., 2003, Device Independence Principles, W3C Working Group, http://www.w3.org/TR/di-princ
  2. Grassel, G., Lauff, M., and Spriestersbach, A., 2002, Definition and Prototyping of Renderer-Independent ML. Nokia, SAP and IBM Germany. In W3C Workshop on Device Independent Authoring Techniques, SAP University, St. Leon-Rot, Germany.
  3. Kurz, B. Popescu, I. and Gallacher, S., 2004, FACADE - a Framework for Context-aware Content Adaptation and Delivery, In Second Annual Conference on Communication Networks and Services Research, Canada.
  4. Lewis, R., 2002, A Device Independent Method for Web Site Authoring. In W3C Workshop on Device Independent Authoring Techniques, SAP University, St. Leon-Rot, Germany.
  5. Lum, W.Y. & Lau, C.M., 2002, A Context-Aware Decision Engine for Content Adaptation, In Pervasive Computing, IEEE Press, Vol. 1, No. 3.
  6. Mandyam, S., Vedati, K., Kuo, C. and Wang, W., 2002, User Interface Adaptations: Indispensable for Single Authoring. In W3C Workshop on Device Independent Authoring Techniques, SAP University, St. Leon-Rot, Germany.
  7. Naderi H., Rumpler B., Pinon J.M., 2006a, A Two Layered personalized Information Retrieval System, In MAPS'06 : International Workshop on Multimodal and Pervasive Services ICPS'06. IEEE Press, France.
  8. Naderi H., Rumpler B., Pinon J.M., 2006b, An Efficient Collaborative Information Retrieval System by Incorporating the User Profile, In AMR 2006, to appear in Springer Lecture Notes in Computer Science.
  9. Sweeney, S., Crestani, F., 2003, Supporting Searching on Small Screen Devices Using Summarization. In Proceedings of Mobile HCI 2003 International Workshop. Lecture Notes in Computer Science, volume 2954.
Download


Paper Citation


in Harvard Style

Naderi H. and Rumpler B. (2007). PHYSICAL DOCUMENT ADAPTATION TO USER’S CONTEXT AND USER’S PROFILE . In Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 5: ICEIS, ISBN 978-972-8865-92-4, pages 92-97. DOI: 10.5220/0002384300920097


in Bibtex Style

@conference{iceis07,
author={Hassan Naderi and Béatrice Rumpler},
title={PHYSICAL DOCUMENT ADAPTATION TO USER’S CONTEXT AND USER’S PROFILE},
booktitle={Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 5: ICEIS,},
year={2007},
pages={92-97},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002384300920097},
isbn={978-972-8865-92-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 5: ICEIS,
TI - PHYSICAL DOCUMENT ADAPTATION TO USER’S CONTEXT AND USER’S PROFILE
SN - 978-972-8865-92-4
AU - Naderi H.
AU - Rumpler B.
PY - 2007
SP - 92
EP - 97
DO - 10.5220/0002384300920097