DocumentCode :
3280232
Title :
Towards ontological model accuracy´s scalability: Application to the Pervasive Computer Supported Collaborative Work
Author :
Hamadache, Kahina ; Lancieri, Luigi
Author_Institution :
Orange Labs., Caen, France
fYear :
2010
fDate :
3-5 Oct. 2010
Firstpage :
354
Lastpage :
359
Abstract :
In this paper we define an ontological model to accurately represent the context in Pervasive Computer Supported Collaborative Work. A major issue in this domain is the mass of information required to correctly depict a situation. As we need to represent users and devices according to multiple aspects (physical, computational, social ...) the amount of information can quickly become unmanageable. Besides, as a PCSCW context model has to be usable on limited resources devices such as cell phones, GPS, ADSL Modems we needed a more efficient way to represent information. In this perspective the model we propose offers the possibility to represent a situation with more or less precision; that is to say with more or less abstraction. The final goal of this work is then to provide a model able to reason with a precise or fuzzy description of a situation.
Keywords :
groupware; ontologies (artificial intelligence); ubiquitous computing; PCSCW context model; collaborative work; fuzzy description; information mass; ontological model accuracy scalability; pervasive computing; Collaboration; Collaborative work; Computational modeling; Computers; Context; Context modeling; Ontologies; ontology; ontology reducing; pervasive computer supported collaborative work; swrl rewriting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine and Web Intelligence (ICMWI), 2010 International Conference on
Conference_Location :
Algiers
Print_ISBN :
978-1-4244-8608-3
Type :
conf
DOI :
10.1109/ICMWI.2010.5647999
Filename :
5647999
Link To Document :
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