Ontology Assisted Decision Making – A Case Study in Trip Planning for Tourism

  • Eleni Tomai
  • Maria Spanaki
  • Poulicos Prastacos
  • Marinos Kavouras
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3762)

Abstract

Traditional trip planning involves decisions made by tourists in order to explore an environment, such as a geographic area, usually without having any prior knowledge or experience with it. Contemporary technological development has facilitated not only human mobility but also has set the path for various applications to assist tourists in way-finding, event notification using location-based services etc. Our approach explores how the use of ontologies can assist tourists plan their trip, in a web-based environment. The methodology consists of building two separate ontologies, one for the users profile and another one concerning tourism information and data in order to assist visitors of an area plan their visit.

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References

  1. 1.
    Agro-tourism site for the municipality of Heraklion: http://www.in.gr/agro/Iraklio/nom1.htm
  2. 2.
    Galant, V., Paprzycki, M.: Information Personalization in an Internet Based Travel Support System. In: Abramowicz (ed.) Proceedings of the BIS 2002 Conference, Poland, pp. 191–202 (2002)Google Scholar
  3. 3.
    Heraklion city’s web pages: http://www.heraklion-city.gr/
  4. 4.
    Protégé Ontology Editor (2004), http://protege.stanford.edu/
  5. 5.
    ten Hagen, K., Kramer, R., Hermkes, M., Schumann, B., Mueller, P.: Semantic Matching and Heuristic Search for a Dynamic Tour Guide. In: 12th International Conference on Information Technology and Travel & Tourism, Austria (2005)Google Scholar
  6. 6.
    Tomai, E., Spanaki, M.: From Ontology Design to Ontology Implementation: a Web Tool for Building Geographic Ontologies. In: Toppen, F., Painho, M. (eds.) Proceedings of AGILE 2005, 8th Conference on Geographic Information Science, ISEGI-UNL, Portugal, pp. 281–290 (2005)Google Scholar
  7. 7.
  8. 8.
    van Setten, M., Pokraev, S., Koolwaaij, J.: Context-Aware Recommendations in the Mobile Tourist Application COMPASS. In: De Bra, P.M.E., Nejdl, W. (eds.) AH 2004. LNCS, vol. 3137, pp. 235–244. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  9. 9.
    Yu, S., Al-Jadir, L., Spaccapietra, S.: Matching User’s Semantics with Data Semantics in Location-Based Services. In: 1st Workshop on Semantics in mobile Environments, Cyprus (2005)Google Scholar
  10. 10.
    Yu, S., Spaccapietra, S., Cullot, N., Aufaure, M.: User Profiles in Location-based Services: Make Humans More Nomadic and Personalised. In: Proceedings of the International Conference on Databases and Applications, Austria (2004)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Eleni Tomai
    • 1
  • Maria Spanaki
    • 1
    • 3
  • Poulicos Prastacos
    • 2
    • 3
  • Marinos Kavouras
    • 1
  1. 1.Cartography LaboratoryNational Technical University of AthensGreece
  2. 2.Institute of Applied and Computational MathematicsFORTHHeraklionGreece
  3. 3.InfoCharta Ltd 

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