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Autor principal: Magnus Niemann
Formato: Artículo científico
Lenguaje:en
Publicado: Universidad de Talca 2008
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Acceso en línea:https://www.redalyc.org/articulo.oa?id=96530208
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  • Enhancing Hotel Search with Semantic Web Technologies Magnus Niemann Malgorzata Mochol Robert Tolksdorf Multidisciplinaria (Ciencias Naturales y Exactas) Tourism Reisewissen Hotel search Semantic Web Hotel evaluation framework Tourism service providers are more and more under pressure to offer products of greater complexity anddiversity to meet the ever-changing demands of travelers; the individualistic consumption patterns and lifestylesmakes it increasingly difficult for tourist service providers to anticipate consumer behavior and configure theirservices accordingly, i.e. the tourist industry must focus more on a “hybrid consumer” whose travel choice willbe more complex. Although current online travel systems aim to support the customer in finding a suitable hotelor even a whole trip, most of the work is still up to the customer, who has to consider several sources ofinformation before deciding which hotel to book. Furthermore, since the quality of a hotel room w.r.t therequirements of the end-user are multi-dimensional and cannot be easily expressed on discrete scales, themain critical issue in such cases is a price/benefit ratio which is defined by what is known, as the “best” booking.To tackle these problems an advanced search technology that considers the ratio and ranks results accordinglyto the user requirements is needed. In this paper we propose a framework which uses Semantic Webtechnologies for an improved exploration and rating of hotels for business customers in order to reduce thesearch time and costs, which, in turn, results in a huge benefit for the end-users. The framework providesmethods for modeling domain specific expert knowledge and integration of diverse heterogeneous data sources.Semantic technologies enable business customer to formalize their requirements and to combine thoserequirements with aggregated hotel information like location or features, thus achieving a selection of the hotelsranked according to the customer´s requirements. 2008 artículo científico 0718-1876 https://www.redalyc.org/articulo.oa?id=96530208 en http://www.redalyc.org/revista.oa?id=965 Journal of Theoretical and Applied Electronic Commerce Research application/pdf Universidad de Talca Journal of Theoretical and Applied Electronic Commerce Research (Chile) Num.2 Vol.3