| Bibliography | Blessing, Andre; Klatt, Stefan; Nicklas, Daniela; Volz, Steffen; Schütze, Hinrich: Language-Derived Information and Context Models.
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)).
University of Stuttgart : Collaborative Research Center SFB 627 (Nexus: World Models for Mobile Context-Based Systems).
german.
IEEE, January 2006.
Article in Proceedings (Conference Paper).
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| CR-Schema | H.2.1 (Database Management Logical Design)
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| Keywords | nlp nexus context modeling and reasoning |
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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 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.
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Full text and
other links | Nexus Homepage
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| Contact | Andre Blessing Andre.Blessing@ims.uni-stuttgart.de |
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| Department(s) | University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems
Universität Stuttgart, Institut für Photogrammetrie (ifp)
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| Project(s) | SFB-627, B1 (University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems)
SFB-627, B2 (Universität Stuttgart, Institut für Photogrammetrie (ifp))
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| Entry date | March 16, 2006 |
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