Enhancing Hotel Search with Semantic Web Technologies

This paper proposes a framework which uses Semantic Web technologies for an improved exploration and rating of hotels for business customers in order to reduce the search time and costs, which, in turn, results in a huge benefit for the end-users.

Abstract

Tourism service providers are more and more under pressure to offer products of greater complexity and diversity to meet the ever-changing demands of travelers; the individualistic consumption patterns and lifestyles makes it increasingly difficult for tourist service providers to anticipate consumer behavior and configure their services accordingly, i.e. the tourist industry must focus more on a "hybrid consumer" whose travel choice will be more complex. Although current online travel systems aim to support the customer in finding a suitable hotel or even a whole trip, most of the work is still up to the customer, who has to consider several sources of information before deciding which hotel to book. Furthermore, since the quality of a hotel room w.r.t the requirements of the end-user are multi-dimensional and cannot be easily expressed on discrete scales, the main critical issue in such cases is a price/benefit ratio which is defined by what is known, as the "best" booking.