By Topic

Language-derived information and context models

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
A. Blessing ; Inst. for Natural Language Process., Stuttgart Univ., Germany ; S. Klatt ; D. Nicklas ; S. Volz
more authors

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 context models 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

Published in:

Fourth Annual IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOMW'06)

Date of Conference:

13-17 March 2006