Exploiting tourism destinations' knowledge in an RDF-based P2P network

Authors:
Dimitris N. Kanellopoulos;Alkiviadis A. Panagopoulos
Affiliations:
Department of Tourism Management, Technological Educational Institute of Patras, Greece Meg. Alexandrou 1, Patras 26334, Greece;Department of Tourism Management, Technological Educational Institute of Patras, Greece Meg. Alexandrou 1, Patras 26334, Greece
Venue:
Journal of Network and Computer Applications
Year:
2008

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Abstract

Destination Management Systems (DMS) is a perfect application area for Semantic Web and P2P technologies since tourism information dissemination and exchange are the key-backbones of tourism destination management. DMS should take advantage of P2P technologies and semantic web services, interoperability, ontologies and semantic annotation. RDF-based P2P networks allow complex and extendable descriptions of resources instead of fixed and limited ones, and they provide query facilities against these metadata instead of simple keyword-based searches. The layered adaptive semantic-based DMS (LA_DMS) and Peer-to-Peer (P2P) project aims at providing semantic-based tourism destination information by combining the P2P paradigm with Semantic Web technologies. In this paper, we propose a metadata model encoding semantic tourism destination information in an RDF-based P2P network architecture. The model combines ontological structures with information for tourism destinations and peers.