Enabling Conversational Tourism Assistants Through Mapping

  • Oleksandra PanasiukEmail author
  • Zaenal AkbarEmail author
  • Umutcan Şimşek
  • Dieter Fensel
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11155)


An immense effort has been invested so far by the semantic web community to make semantically annotated tourism data available. Naturally, the result of these efforts can only be proven useful if there are applications working on top of the data produced. In this paper we introduce a simple method for developing a conversational agent with state of the art tools by mapping tourism related types and properties to conversational elements in a straightforward and generic way.


Intelligent assistant e-tourism Conversational mapping 



We would like to thank all the members of the Schema-Tourism Working Group ( for their valuable feedback and suggestions.


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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.Semantic Technology Institute (STI) Innsbruck, Department of Computer ScienceUniversity of InnsbruckInnsbruckAustria

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