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The Advent of Semantic Web in Tourism Information Systems


  • Kanellopoulos, Dimitris N.


The tourism industry depends on complex value creation chains involving a large number of participants that change frequently and rapidly. In addition, the products of tourism industry are complex and they will perish if they are not sold in time. For these reasons, the ideal tourism information systems require a lot of flexibility of underlying systems. Moreover, they comprise accurate access to any tourism service that provide, and they are usable by corporate and private customers alike. The management and interoperation of semantically diverse tourism information systems are facilitated by Semantic Web technology that provides methods and standards, which allow accurate access to information as well as flexibility to comply with needs of tourism information system users and administrators. This paper considers state-of-the art issues (ontologies, semantic modelling and querying, semantic portals and semantic-based e-markets) concerning the exploitation of the semantic web technologies and applications in tourism information systems.

Suggested Citation

  • Kanellopoulos, Dimitris N., 2005. "The Advent of Semantic Web in Tourism Information Systems," MPRA Paper 25397, University Library of Munich, Germany, revised 07 Mar 2006.
  • Handle: RePEc:pra:mprapa:25397

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    References listed on IDEAS

    1. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    2. Witt, Stephen F. & Witt, Christine A., 1995. "Forecasting tourism demand: A review of empirical research," International Journal of Forecasting, Elsevier, vol. 11(3), pages 447-475, September.
    3. Ong, Christine, 1995. "Tourism demand models: a critique," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 39(3), pages 367-372.
    4. McAleer, Michael, 1994. " Sherlock Holmes and the Search for Truth: A Diagnostic Tale," Journal of Economic Surveys, Wiley Blackwell, vol. 8(4), pages 317-370, December.
    5. James G. MacKinnon, 1990. "Critical Values for Cointegration Tests," Working Papers 1227, Queen's University, Department of Economics.
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    More about this item


    tourism information systems; semantic web; ontologies; semantic web services;

    JEL classification:

    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development
    • M1 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism


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