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Language-Derived Information and Context Models

contributor Institut für Parallele und Verteilte Systeme, Anwendersoftware
Institut für Photogrammetrie (ifp)
Andre Blessing
creator Blessing, Andre
Klatt, Stefan
Nicklas, Daniela
Volz, Steffen
Schütze, Hinrich
date 2006-01
description 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.
identifier  http://www.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2006-09&engl=1
language ger
publisher University of Stuttgart : Collaborative Research Center SFB 627 (Nexus: World Models for Mobile Context-Based Systems)
IEEE
source In: Proceedings of 3rd IEEE PerCom Workshop on Context Modeling and Reasoning (CoMoRea) (at 4th IEEE International Conference on Pervasive Computing and Communication (PerCom'06))
subject Database Management Logical Design (CR H.2.1)
nlp nexus context modeling and reasoning
title Language-Derived Information and Context Models
type Text
Article in Proceedings