Knowledge Processing for Web Search—An Integrated Model and Experiments

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P. Gursky
T. Horvath
J. Jirasek
R. Novotny
J. Pribolova
V. Vanekova
P. Vojtas


We propose a model of a middleware system enabling personalized web
search for users with different preferences. We integrate both
inductive and deductive tasks to find user preferences and
consequently best objects. The model is based on modeling
preferences by fuzzy sets and fuzzy logic. We present the model-theoretic
semantics for fuzzy description logic
f-EL which is the motivation of creating a model
for fuzzy RDF. Our model was experimentally implemented and
the integration was tested.

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