Extending the Conceptual Neighborhood Graph of the Relations for the Semantic Adaptation of Multimedia Documents
The recent developments in computing and
communication technology permit to users to access multimedia
documents with variety of devices (PCs, PDAs, mobile phones...)
having heterogeneous capabilities. This diversification of supports
has trained the need to adapt multimedia documents according to
their execution contexts. A semantic framework for multimedia
document adaptation based on the conceptual neighborhood graphs
was proposed. In this framework, adapting consists on finding
another specification that satisfies the target constraints and which is
as close as possible from the initial document. In this paper, we
propose a new way of building the conceptual neighborhood graphs
to best preserve the proximity between the adapted and the original
documents and to deal with more elaborated relations models by
integrating the relations relaxation graphs that permit to handle the
delays and the distances defined within the relations.
[1] J. F. Allen, Maintaining knowledge about temporal intervals. Commun.
ACM,26(11):832-843, 1983.
[2] G. J. Badros, A. Borning. and P. J. Stuckey, « The Cassowary linear
arithmetic constraint solving algorithm », ACM Transactions on
Computer-Human Interaction (TOCHI), vol. 8, no 4, 2001, p. 267-306.
[3] Euzenat Jérome., Layaïda N., Diaz V. «A semantic framework for
multimedia document adaptation.» 18th International Joint Conference
on Artificial Intelligence (IJCAI). Acapulco (MX), 2003. 31-36.
[4] Freksa Christian. «Conceptual neighborhood and its role in temporal and
spatial reasoning.» In Proceedings of the IMACS Inter. Work. on
Decision Support Systems and Qualitative Reasoning. Toulouse, France,
1991. 181-187.
[5] Sébastien Laborie, Jér├┤me Euzenat, Nabil Layaïda. Semantic
Adaptation of Multimedia Documents. Multimedia Tools and
Applications (MTAP), pages 1-20, juin 2010.
[6] Wahl T., Rothermel K. «Representing Time in Multimedia Systems.»
IEEE Proceedings of the International Conference on Multimedia
Computing and Systems. Boston, Massachusetts: IEEE Computer
Society Press, 1994. 538-543.
[1] J. F. Allen, Maintaining knowledge about temporal intervals. Commun.
ACM,26(11):832-843, 1983.
[2] G. J. Badros, A. Borning. and P. J. Stuckey, « The Cassowary linear
arithmetic constraint solving algorithm », ACM Transactions on
Computer-Human Interaction (TOCHI), vol. 8, no 4, 2001, p. 267-306.
[3] Euzenat Jérome., Layaïda N., Diaz V. «A semantic framework for
multimedia document adaptation.» 18th International Joint Conference
on Artificial Intelligence (IJCAI). Acapulco (MX), 2003. 31-36.
[4] Freksa Christian. «Conceptual neighborhood and its role in temporal and
spatial reasoning.» In Proceedings of the IMACS Inter. Work. on
Decision Support Systems and Qualitative Reasoning. Toulouse, France,
1991. 181-187.
[5] Sébastien Laborie, Jér├┤me Euzenat, Nabil Layaïda. Semantic
Adaptation of Multimedia Documents. Multimedia Tools and
Applications (MTAP), pages 1-20, juin 2010.
[6] Wahl T., Rothermel K. «Representing Time in Multimedia Systems.»
IEEE Proceedings of the International Conference on Multimedia
Computing and Systems. Boston, Massachusetts: IEEE Computer
Society Press, 1994. 538-543.
@article{"International Journal of Information, Control and Computer Sciences:51892", author = "Azze-Eddine Maredj and Nourredine Tonkin", title = "Extending the Conceptual Neighborhood Graph of the Relations for the Semantic Adaptation of Multimedia Documents", abstract = "The recent developments in computing and
communication technology permit to users to access multimedia
documents with variety of devices (PCs, PDAs, mobile phones...)
having heterogeneous capabilities. This diversification of supports
has trained the need to adapt multimedia documents according to
their execution contexts. A semantic framework for multimedia
document adaptation based on the conceptual neighborhood graphs
was proposed. In this framework, adapting consists on finding
another specification that satisfies the target constraints and which is
as close as possible from the initial document. In this paper, we
propose a new way of building the conceptual neighborhood graphs
to best preserve the proximity between the adapted and the original
documents and to deal with more elaborated relations models by
integrating the relations relaxation graphs that permit to handle the
delays and the distances defined within the relations.", keywords = "Conceptual Neighborhood Graph, Relaxation
Graphs, Relations with Delays, Semantic Adaptation of Multimedia
Documents.", volume = "5", number = "5", pages = "432-4", }