TY  - JOUR
T1  - A Semantic-Based Architecture for Intelligent Destination Management Systems
AU - , Dimitris Kanellopoulos AU - , Sotiris Kotsiantis 
JO  - International Journal of Soft Computing
VL  - 2
IS  - 1
SP  - 61
EP  - 68
PY  - 2007
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2007.61.68
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2007.61.68
KW  - DMS
KW  -semantic web
KW  -ontology
KW  -tourism destination
AB  - 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.
ER  -