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Fourth IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOMW'06)
Language-Derived Information and Context Models
Pisa, Italy
March 13-March 17
ISBN: 0-7695-2520-2
Andre Blessing, University of Stuttgart, Germany
Stefan Klatt, University of Stuttgart, Germany
Hinrich Schutze, University of Stuttgart, Germany
Daniela Nicklas, University of Stuttgart, Germany
Steffen Volz, University of Stuttgart, Germany
There are a number of possible sources for information about the environment when creating or updating a context model, including sensorial input, databases, and explicit modeling by the system designer. Another source is natural language, either in the form of electronic text (e.g., the world wide web) or speech. In this paper, we investigate the implications for contextmodels when some of their information is derived linguistically with an emphasis on the issues of hybrid models and mapping between entities in language and context model. We present a prototype that tests some of our ideas.
Citation:
Andre Blessing, Stefan Klatt, Hinrich Schutze, Daniela Nicklas, Steffen Volz, "Language-Derived Information and Context Models," percomw, pp.24-29, Fourth IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOMW'06), 2006
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