Authors : Dimitris Kanellopoulos and Sotiris Kotsiantis
Abstract: Tourism Destination Management Systems (DMS) achieve their full potential, if some crucial problems will be resolved. Such problems are: how to make DMS span wide areas with heterogeneous tourism information resources; how to improve the matchmaking between user requirements and tourism destination information; and how to make DMS more intelligent in taking actions according to different user context environments. The semantic web is a promising technology to solve these problems. This study proposes a semantic-based architecture in which semantic web ontology is used to model the tourism destinations, user profiles, and contexts. The semantic web service ontology (OWL-S) is extended for matching user requirements with tourism destination specifications at the semantic level, with context information taken into account. Semantic Web Rule Language (SWRL) is used for inferencing with context and user profile descriptions. The architecture enables DMS to become fully adaptable to user�s requirements concerning tourism destinations.
Dimitris Kanellopoulos and Sotiris Kotsiantis , 2007. A Semantic-Based Architecture for Intelligent Destination Management Systems. International Journal of Soft Computing, 2: 61-68.