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Uncertainty and the Semantic Web
September/October 2006 (vol. 21 no. 5)
pp. 84-87
ASCII Text
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Giorgos Stoilos, Nikos Simou, Giorgos Stamou, Stefanos Kollias, "Uncertainty and the Semantic Web," IEEE Intelligent Systems, vol. 21, no. 5, pp. 84-87, September/October, 2006.
 
 
BibTex
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@article{ 10.1109/MIS.2006.105,
author = {Giorgos Stoilos and Nikos Simou and Giorgos Stamou and Stefanos Kollias},
title = {Uncertainty and the Semantic Web},
journal ={IEEE Intelligent Systems},
volume = {21},
number = {5},
issn = {1541-1672},
year = {2006},
pages = {84-87},
doi = {http://doi.ieeecomputersociety.org/10.1109/MIS.2006.105},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - IEEE Intelligent Systems
TI - Uncertainty and the Semantic Web
IS - 5
SN - 1541-1672
SP84
EP87
EPD - 84-87
A1 - Giorgos Stoilos,
A1 - Nikos Simou,
A1 - Giorgos Stamou,
A1 - Stefanos Kollias,
PY - 2006
KW - fuzzy knowledge
KW - OWL
KW - Description Logic
KW - reasoning
KW - uncertainty
KW - Semantic Web
VL - 21
JA - IEEE Intelligent Systems
ER -
 
Giorgos Stoilos, National Technical University of Athens
Nikos Simou, National Technical University of Athens
Giorgos Stamou, National Technical University of Athens
Stefanos Kollias, National Technical University of Athens
The Semantic Web must handle applications that face uncertain and imprecise information, including random, fuzzy, missing, and distorted knowledge. Many researchers have proposed extending OWL and Description Logic to deal with such uncertainty. f-OWL, a fuzzy extension to OWL, can capture imprecise and vague knowledge. The accompanying Fuzzy Reasoning Engine lets f-OWL capture and reason about such knowledge.
Index Terms:
fuzzy knowledge, OWL, Description Logic, reasoning, uncertainty, Semantic Web
Citation:
Giorgos Stoilos, Nikos Simou, Giorgos Stamou, Stefanos Kollias, "Uncertainty and the Semantic Web," IEEE Intelligent Systems, vol. 21, no. 5, pp. 84-87, Sep./Oct. 2006, doi:10.1109/MIS.2006.105
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