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A. F. Salam and Jason R. Stevens

"Semantic Web Technologies and E-Business: Toward the Integrated Virtual Organization and Business Process Automation"

Obviously, in his.profile, this positive value will be replaced by
zero??”as explicit personal preferences outweigh these specified in the stereotype
(see also Nistor, Oprea, Paprzycki, & Parakh, 2002):
:KarolOp n ons a sys:Op n onsSet;
sys:conta nsOp n on
[sys:about res:CafeCoffeeShopCu s ne;
sys:hasClassification sys:Interesting;
sys:hasNormal zedProbab l ty 0.0].
Table 1. Calculating closeness between user profile (Karol) and a stereotype (artist)
Attribute
(f)
Attribute
weight
(wf)
Data of artist stereotype
(comma means OR relation):
(S)
Karol??™s Data:
(u)
Distance between
value of attribute:
(df
S,u)
Weighted
distance:
(wf* df
S,u)
Age 2 20-50 24 0.00 0.00
Wealth 4 Not Rich, Average Rich Rich 0.33 1.33
Dress 1 Naturally, Elegantly Naturally 0.00 0.00
Profession 2
Student/Pupil, Scientist/
Teacher, Specialist/
FreeLancer
Unemployed/WorkSeeker
Specialist/
FreeLancer 0.00 0.00
COMBINED
1.3(3) /
(2+4+1+2)=
0.14(6)
Ganzha, Gawinecki, Paprzycki, G?…siorowski, Pisarek, and Hyska
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