Post-via: After Visit Tourist Services Enabled by Semantics

  • Ricardo Colomo-Palacios
  • Alejandro Rodríguez-González
  • Antonio Cabanas-Abascal
  • Joaquín Fernández-González
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7567)


The Internet has disrupted traditional tourism services. Thus, knowing tourists’ travel experience becomes a privileged tool to enable new business strategies based on the feedback provided by the tourists themselves. Post-Via captures and effectively manages tourists’ feedback and, based on semantic technologies, integrates opinions and services to enhance tourists’ loyalty. In a nutshell, Post-Via tries to unite on one platform the necessary components to perform traditional Customer Relationship Management functions and opinion mining techniques to provide services of direct marketing using web semantic components and recommender systems.


Semantic Technologies Tourism After Visit Services Ontology 


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  1. 1.
    Aldebert, B., Dang, R.J., Longhi, C.: Innovation in the tourism industry: The case of Tourism@. Tourism Management 32(5), 1204–1213 (2011)CrossRefGoogle Scholar
  2. 2.
    Garín-Muñoz, T., Pérez-Amaral, T.: Internet usage for travel and tourism: the case of Spain. Tourism Economics 17(5), 1071–1085 (2011)CrossRefGoogle Scholar
  3. 3.
    Berné Manero, C., García-González, M., García-Uceda, M.E., Múgica Grijalba, J.M.: Modelización de los cambios en el sistema de distribución del sector turístico debidos a la incorporación de las tecnologías. Cuadernos de Economía y Dirección de la Empresa (in press, 2012)Google Scholar
  4. 4.
    Ip, C., Leung, R., Law, R.: Progress and development of information and communication technologies in hospitality. International Journal of Contemporary Hospitality Management 23(4), 533–551 (2011)CrossRefGoogle Scholar
  5. 5.
    Buhalis, D., Law, R.: Progress in information technology and tourism management: 20 years on and 10 years after the Internet—The state of eTourism research. Tourism Management 29(4), 609–623 (2008)CrossRefGoogle Scholar
  6. 6.
    Buhalis, D.: Strategic use of information technologies in the tourism industry. Tourism Management 19(5), 409–421 (1998)CrossRefGoogle Scholar
  7. 7.
    Cooper, C.: Knowledge management and tourism. Annals of Tourism Research 33(1), 47–64 (2006)CrossRefGoogle Scholar
  8. 8.
    Berners-Lee, T., Hendler, J., Lassila, O.: The semantic web. Scientific American 284(5), 34–43 (2001)CrossRefGoogle Scholar
  9. 9.
    Brewster, C., O’Hara, K.: Knowledge representation with ontologies: Present challenges—Future possibilities. International Journal of Human-Computer Studies 65(7), 563–568 (2007)CrossRefGoogle Scholar
  10. 10.
    Álvarez Sabucedo, L.M., Anido Rifón, L.E., Corradini, F., Polzonetti, A., Re, B.: Knowledge-based platform for eGovernment agents: A Web-based solution using semantic technologies. Expert Systems with Applications 37(5), 3647–3656 (2010)CrossRefGoogle Scholar
  11. 11.
    Durgin, J.K., Sherif, J.S.: The semantic web: a catalyst for future e-business. Kybernetes 37(1), 49–65 (2008)CrossRefGoogle Scholar
  12. 12.
    Ding, Y.: Semantic Web: Who is who in the field—a bibliometric analysis. Journal of Information Science 36(3), 335–356 (2010)CrossRefGoogle Scholar
  13. 13.
    Breslin, J.G., O’Sullivan, D., Passant, A., Vasiliu, L.: Semantic Web computing in industry. Computers in Industry 61(8), 729–741 (2010)CrossRefGoogle Scholar
  14. 14.
    Janev, V., Vraneš, S.: Applicability assessment of Semantic Web technologies. Information Processing & Management 47(4), 507–517 (2011)CrossRefGoogle Scholar
  15. 15.
    García-Crespo, A., Chamizo, J., Rivera, I., Mencke, M., Colomo-Palacios, R., Gómez-Berbís, J.M.: SPETA: Social pervasive e-Tourism advisor. Telematics and Informatics 26(3), 306–315 (2009)CrossRefGoogle Scholar
  16. 16.
    García-Crespo, Á., Colomo-Palacios, R., Gómez-Berbís, J.M., Chamizo, J., Rivera, I.: Intelligent Decision-Support Systems for e-Tourism. International Journal of Decision Support System Technology 2(1), 36–48 (2010)CrossRefGoogle Scholar
  17. 17.
    Bordoni, L.: Technologies to support cultural tourism for Latin Latium. Journal of Hospitality and Tourism Technology 2(2), 96–104 (2011)CrossRefGoogle Scholar
  18. 18.
    Huang, Y., Bian, L.: A Bayesian network and analytic hierarchy process based personalized recommendations for tourist attractions over the Internet. Expert Systems with Applications 36(1), 933–943 (2009)CrossRefGoogle Scholar
  19. 19.
    García-Crespo, Á., López-Cuadrado, J.L., Colomo-Palacios, R., González-Carrasco, I., Ruiz-Mezcua, B.: Sem-Fit: A semantic based expert system to provide recommendations in the tourism domain. Expert Systems with Applications 38(10), 13310–13319 (2011)CrossRefGoogle Scholar
  20. 20.
    Moreno, A., Valls, A., Isern, D., Marin, L., Borràs, J.: SigTur/E-Destination: Ontology-based personalized recommendation of Tourism and Leisure Activities. Engineering Applications of Artificial Intelligence (in press, 2012)Google Scholar
  21. 21.
    Batet, M., Moreno, A., Sánchez, D., Isern, D., Valls, A.: Turist@: Agent-based personalised recommendation of tourist activities. Expert Systems with Applications 39(8), 7319–7329 (2012)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Ricardo Colomo-Palacios
    • 1
  • Alejandro Rodríguez-González
    • 2
  • Antonio Cabanas-Abascal
    • 1
  • Joaquín Fernández-González
    • 3
  1. 1.Computer Science DepartmentUniversidad Carlos III de MadridLeganés, MadridSpain
  2. 2.Bioinformatics at Centre for Plant Biotechnology and Genomics UPM-INIAPolytechnic University of MadridMadridSpain
  3. 3.EgeoITMadridSpain

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