| Henricksen, K., Indulska, J., Rakotonirainy, A.: Modeling context information in pervasive computing systems. In Mattern, F., Naghshineh, M., eds.: Pervasive 2002, Berlin, Springer (2002) 167--180 |
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K. Henricksen, J. Indulska, and A. Rakotonirainy. Modeling context information in pervasive computing systems. In 1st International Conference on Pervasive Computing (Pervasive) , volume 2414 of Lecture Notes in Computer Science, pages 167--180. Springer, 2002.
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Henricksen, K., Indulska, J., Rakotonirainy, A.: Modeling context information in pervasive computing systems. In: 1st International Conference on Pervasive Computing (Pervasive). Volume 2414 of Lecture Notes in Computer Science., Springer (2002) 167--180
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Henricksen, K., Indulska, J., Rakotonirainy, A.: Modeling context information in pervasive computing systems. In: Proceedings of The First International Conference on Pervasive Computing, Pervasive 2002. Volume 2414 of Lecture Notes in Computer Science., Zurich, Switzerland, Springer (2002) 169--180
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K. Henricksen, J. Indulska and A. Rakotonirainy, Modeling Context Information in Pervasive Computing Systems. 1st International Conference on Pervasive Computing. In: Lecture Notes in Computer Science, Volume 2414, pp. 167-180. Springer, 2002.
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K. Henricksen, J. Indulska, and A. Rakotonirainy. Modeling context information in pervasive computing systems. In 1st International Conference on Pervasive Computing (Pervasive) , volume 2414 of Lecture Notes in Computer Science, pages 167--180. Springer, 2002.
No context found.
K. Henricksen, J. Indulska, and A. Rakotonirainy. Modeling context information in pervasive computing systems. In 1st International Conference on Pervasive Computing (Pervasive), volume 2414 of Lecture Notes in Computer Science, pages 167--180. Springer, 2002.
No context found.
Henricksen, K., Indulska, J., Rakotonirainy, A.: Modeling context information in pervasive computing systems. In: 1st International Conference on Pervasive Computing (Pervasive). Volume 2414 of Lecture Notes in Computer Science., Springer (2002) 167--180
No context found.
Henricksen, K., Indulska, J., Rakotonirainy, A.: Modeling context information in pervasive computing systems. In: 1st International Conference on Pervasive Computing (Pervasive). Volume 2414 of Lecture Notes in Computer Science., Springer (2002) 167--180
....a set of modelling concepts appropriate for describing context information, we avoided aligning our work with any of the existing data modelling approaches. This gave us the flexibility to explore the most natural way of capturing the aforementioned aspects of context. The results are described in [7]. Subsequently, we have decided to reformulate our modelling concepts as extensions to the Object Role Modeling (ORM) approach [8] The choice of ORM over alternative approaches was largely motivated by the suitability of ORM s fact types as an abstraction upon which concepts such as histories and ....
Henricksen, K., Indulska, J., Rakotonirainy, A.: Modeling context information in pervasive computing systems. In: Proceedings of Pervasive 2002, Zurich (2002)
....the Commonwealth Government of Australia. As the programming of context aware applications is complex and errorprone, there has been a recent emphasis on the creation of infrastructure that assists with tasks such as context acquisition from sensors [1,2] and context modelling and dissemination [3 7]. However, the success of context aware ap plications also demands appropriate standards for applications to express and exchange context information. Such a standard is currently being developed by the W3C in the form of CC PP [8, 9] CC PP offers an XML based format for exchanging context ....
.... to specify a range of characteristics of context information, including temporal characteristics (freshness and histories) accuracy, resolution (granularity) con fidence in correctness of context information, as well as a variety of information types (including various types of dependencies) [7]. However, we have already shown in Section 4 that it was difficult and unintuitive to capture complex rela tionships and constraints in CC PP and that the Component Attribute model becomes unwieldy if there are many layers of attributes. In addition, there are other limitations which make ....
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Henricksen, K., Indulska, J., Rakotonirainy, A.: Modeling context information in pervasive computing systems. In: Proceedings of The First International Conference on Pervasive Computing, Pervasive 2002. Volume 2414 of Lecture Notes in Computer Science., Zurich, Switzerland, Springer (2002) 169-180
....either gathered from sensors of provided by other objects. We assume that COP objects can interpret the meaning of those events. We plan to use a more complex model able to capture features such as context diversity, quality and complex relationships amongst context information for later stage [22]. 5.4 Scoping COP allows a form of dynamic scoping. Variables in COP can be called (set get) from outside the block of code in which they are defined (e.g variables from a filled open term can be bound to internal variables of a recipient program) COP programs has to differentiate between ....
Henricksen, K., Indulska, J., Rakotonirainy, A.: Modeling context information in pervasive computing systems. In: 1st International Conference on Pervasive Computing, Zurich, Switzerland, Springer (2002) 5.3
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Henricksen, K., Indulska, J., Rakotonirainy, A.: Modeling context information in pervasive computing systems. In Mattern, F., Naghshineh, M., eds.: Pervasive 2002, Berlin, Springer (2002) 167--180
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K. Henricksen, J. Indulska, and A. Rakotonirainy. Modeling context information in pervasive computing systems. In Proc. of Pervasive'02, vol. 2414 of LNCS, 2002.
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Karen Henricksen, Jadwiga Indulska, and Andry Rakotonirainy. Modeling context information in pervasive computing systems. In Proceedings of Pervasive'02, volume 2414 of LNCS, pages 167--180. Springer, 2002.
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K. Henricksen, J. Indulska, and A. Rakotonirainy. Modeling context information in pervasive computing systems. In Proceedings of the First International Conference on Pervasive Computing, volume 2414 of Lecture Notes in Computer Science, pages 167-180, Zurich, August 2002. Springer-Verlag.
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K. Henricksen, J. Indulska, and A. Rankotonirainy. Modeling context information in pervasive computing systems. In Pervasive 2002, pages 167--180, Zurich, Switzerland, 2002.
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Karen Henricksen, Jadwiga Indulska, and Andry Rakotonirainy. Modeling Context Information in Pervasive Computing Systems. In Proceedings of the First International Conference on Pervasive Computing, pages 167-180, Zurich, Switzerland, August 26-28, 2002.
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Henricksen, K., Indulska, J., Rakotonirainy, A.: Modeling context information in pervasive computing systems. In: Pervasive Computing, First International Conference, Pervasive 2002, Zurich, Switzerland, August 26-28, 2002, Proceedings. Volume 2414 of Lecture Notes in Computer Science., Springer (2002) 167--180
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Henricksen K., Indulska J., and Rakotonirainy A. Modeling Context Information in Pervasive Computing Systems, In F. Mattern and M. Naghshineh, editors, Pervasive 2002, pages 167-- 180, Springer Verlag, Berlin, 2002.
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Karen Henricksen, et al., "Modeling Context Information in Pervasive Computing Systems,"Pervasive Computing and Communication (PerCom), 2002.
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Karen Henricksen, et al., Modeling Context Information in Pervasive Computing Systemsi , Pervasive 2002.
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Henricksen K, Indulska J, Rakotonirainy A., "Modeling Context Information in Pervasive Computing Systems", In Proceedings Pervasive Computing, Zurich, August 2002.
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