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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"

8
Ut l z ng Semant c Web and Software Agents n a Travel Support System
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the overall score will be decreased due to the influence of Outdoor and CafeCoffeeShopCuisine
features, but will receive a ???temperature boost??? because of the
ItalianCuisine feature (explicitly specified feature). However, the restaurant X it
won??™t be rated as high as the restaurant Y:
:RestaurantY a res:Restaurant;
res:cu s ne res:Ital anCu s ne;
res:smok ng res:Perm ttedSmok ng.
which serves ItalianCuisine, where smoking is also permitted. To be more specific,
let us consider these two restaurants and the third one described by the following
features:
:RestaurantZ a res:Restaurant;
res:cu s ne res:W neBeer;
res:smok ng res:Perm ttedSmok ng.
Then Table 2 represents the way that temperatures of each restaurant will be computed.
As a result, restaurants X and Y belong to the first bucket (to be displayed to the
user as they both have features that belong to area B).


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