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Information Fusion and Geographic Information Systems (IF&GIS' 2015) pp 77–89Cite as

Semantic Recommender System for Touristic Context Based on Linked Data

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Part of the book series: Lecture Notes in Geoinformation and Cartography ((LNGC))

Abstract

The lack of personalization presented in touristic itineraries that are offered by travel agencies involve a little flexibility. Basically, they are designed with the points of interest (POIs) that have more relevance in the area. On the other hand, there are POIs that have agreements with the agencies, which originate a excluding POIs that could be interesting for the tourist. In this work, a method capable to use the user preferences, like POIs and activities that user wants to realize during their vacations is proposed. Moreover, some weighted features such as the max distance that user wants to walk between POIs, and opinions of other users, coming from the web 2.0 by means of social media are taken into account. As result, a personalized route, which is composed of recommended POIs for the user and satisfied the user profile is provided.

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Notes

  1. 1.

    http://www.mondeca.com.

  2. 2.

    http://e-tourism.deri.at/ont/index.html.

  3. 3.

    http://parliament.semwebcentral.org/.

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Acknowledgments

This work was partially sponsored by the IPN, CONACYT and SIP, under grant 20140545. Additionally, we are thankful to the reviewers for their invaluable and constructive feedback that helped improve the quality of the paper.

Author information

Authors and Affiliations

  1. Centro de Investigación En Computación, Instituto Politécnico Nacional UPALM-Zacatenco, 07320, Mexico, Mexico

    Luis Cabrera Rivera, Miguel Torres-Ruiz & Marco Antonio Moreno Ibarra

  2. National University of Colombia, Carrera 30 No 45A-03, Bogota D.C, Colombia

    Luis M. Vilches-Blázquez

Authors
  1. Luis Cabrera Rivera
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  2. Luis M. Vilches-Blázquez
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  3. Miguel Torres-Ruiz
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  4. Marco Antonio Moreno Ibarra
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Corresponding author

Correspondence to Luis Cabrera Rivera .

Editor information

Editors and Affiliations

  1. Deputy Director for Research, SPIIRAS 39, St. Petersburg, Russia

    Vasily Popovich

  2. Naval Academy Research Institute, Brest naval, France

    Christophe Claramunt

  3. CORP - Competence Center of Urban and Regional Planning, Klosterneuburger, Austria

    Manfred Schrenk

  4. NAVSEA, Chief Scientist/NUWC Code 1543 B1320, Newport, Rhode Island, USA

    Kyrill Korolenko

  5. Laboratory of Informatics of Grenoble, Université Grenoble Alpes, Saint Martin d'Heres, France

    Jérôme Gensel

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Cabrera Rivera, L., Vilches-Blázquez, L.M., Torres-Ruiz, M., Moreno Ibarra, M.A. (2015). Semantic Recommender System for Touristic Context Based on Linked Data. In: Popovich, V., Claramunt, C., Schrenk, M., Korolenko, K., Gensel, J. (eds) Information Fusion and Geographic Information Systems (IF&GIS' 2015). Lecture Notes in Geoinformation and Cartography. Springer, Cham. https://doi.org/10.1007/978-3-319-16667-4_5

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