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)


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.


User Profile Event Notification Trip Planning Tourist Guide Semantic Match 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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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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