@INPROCEEDINGS{Euzenat03,
   AUTHOR = {J\'er\^ome Euzenat and Nabil Laya\"ida and Victor Dias},
   TITLE = {A semantic framework for multimedia document adaptation},
   BOOKTITLE = {Proceedings of the 18th International Joint Conference on Artificial Intelligence IJCAI'2003},
   PUBLISHER = {Morgan Kauffman},
   PAGES = {31-36},
   MONTH = AUG,
   YEAR = 2003,
   URL = {http://wam.inrialpes.fr/publications/2003/ijcai2003/ijcai2003.pdf},
   ABSTRACT = {With the proliferation of heterogeneous devices (desktop
    computers, personal digital assistants, phones), multimedia documents must
    be played under various constraints (small screens, low bandwidth). Taking
    these constraints into account with current document models is impossible.
    Hence, generic source documents must be transformed into documents
    compatible with the target contexts. Currently, the design of
    transformations is left to programmers. We propose here a semantic
    framework, which accounts for multimedia document adaptation in very
    general terms. A model of a multimedia document is a potential execution
    of this document and a context defines a particular class of models. The
    adaptation should then retain the source document models that belong to
    the class defined by the context if such models exist. Otherwise, the
    adaptation should produce a document whose models belong to this class
    and are "close" to those of the source documents. We focus on the
    temporal dimension of multimedia documents and show how adaptation can
    take advantage of temporal reasoning techniques. Several metrics are
    given for assessing the proximity of models.}
}