Language-Derived Information and Context Models

Authors:
Andre Blessing;Stefan Klatt;Hinrich Schutze;Daniela Nicklas;Steffen Volz
Affiliations:
University of Stuttgart, Germany;University of Stuttgart, Germany;University of Stuttgart, Germany;University of Stuttgart, Germany;University of Stuttgart, Germany
Venue:
PERCOMW '06 Proceedings of the 4th annual IEEE international conference on Pervasive Computing and Communications Workshops
Year:
2006

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Abstract

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.