Skip to main content
SpringerLink
Log in

Route Ontology in Value Recognition of Self-tour Planning Application

  • Conference paper
  • First Online:
Book cover Computational Collective Intelligence (ICCCI 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11684))

Included in the following conference series:

  • 1781 Accesses

Abstract

In tourism information management there are two types of information networking that may assist the personalized self-tour planning: (1) tourist points of interest (regional attractions, activities and events) and (2) tourism services (hotel, gastronomy and transport). Therefore, the most important problem discussed in the paper is the integration of the tourism information networks for individual user optimization and personalization. In order to make this connection, there are overviewed three ontological approaches that lead to the recognition of tourist values. The object-based logic is explained as the first model, then the service-based model follows, with the experience-oriented model being discussed as the last one, thus going from the most passive way of self-tour planning to its most active form (through co-creation of the tourist route). The main focus of the latter approach is on designing two stages of the tourist experience that would manifest itself during the tour. Its operationalization is done by expert knowledge rooted in the tourist application functionality. The practical part of the paper deliberates the unique values that can be used to inform and enhance the smart and the intelligent tourist self-tour planner.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Bahramiana, Z., Abbaspoura Ali, R.: An ontology-based tourism recommender system based on spreading activation model. In: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. XL-1/W5 (2015)

    Article  Google Scholar 

  2. Botterill, D., Platenkamp, V.: Key Concepts in Tourism Research. Sage Publishing Ltd., Los Angeles (2012)

    Book  Google Scholar 

  3. Card, S.K., Mackinlay, J.D., Shneiderman, B.: Information visualization. In: Card, S.K., Mackinlay, J.D., Shneiderman, B. (eds.) Readings in Information Visualization: Using Vision to Think, pp. 1–34. Morgan Kaufmann, San Francisco (1999)

    Google Scholar 

  4. Carroll, J.M. (ed.): Making Use: Scenario-Based Design of Human-Computer Interactions. MIT Press, Cambridge (2000)

    Google Scholar 

  5. Chen, L., Nugent, C.: Ontology-based activity recognition in intelligent pervasive environments. Int. J. Web Inf. Syst. 5(4), 410–430 (2009)

    Article  Google Scholar 

  6. Cheverst, K., Davies, N., Mitchell, K., Smith, P.: Providing tailored (context-aware) information to city visitors. In: Brusilovsky, P., Stock, O., Strapparava, C. (eds.) AH 2000. LNCS, vol. 1892, pp. 73–85. Springer, Heidelberg (2000). https://doi.org/10.1007/3-540-44595-1_8

    Chapter  Google Scholar 

  7. Cho, Y., Kim, J.: Application of web usage mining and product taxonomy to collaborative recommendations in e-commerce. Expert Syst. Appl. 26(2), 233–246 (2004)

    Article  Google Scholar 

  8. Dorrestijn, S., van der Voort, M., Verbeek, P.-P.: Future user-product arrangements: combining product impact and scenarios in design for multi age success. Technol. Forecast. Soc. Chang. 89, 284–292 (2014)

    Article  Google Scholar 

  9. Fink, J., Kobsa, A.: User modeling for personalized city tours. Artif. Intell. Rev. 18, 33 (2002). https://doi.org/10.1023/A:1016383418977

    Article  MATH  Google Scholar 

  10. García-Crespo, A., Chamizo, J., Rivera, I., Mencke, M., Colomo-Palacios, R., Gómez-Berbís, J.M.: SPETA: social pervasive e-tourism advisor. Telematics Inform. 26, 306–315 (2009)

    Article  Google Scholar 

  11. Long, S., Kooper, R., Abowd, G.D., Atkeson, C.G.: Rapid prototyping of mobile context-aware applications. the cyberguide case study. In: Proceedings of the 2nd ACM International Conference on Mobile Computing. ACM Press, Rye (1996)

    Google Scholar 

  12. Makedos, K., Tryfona, N.: PLATIS: a personalized location-aware tourist information system. In: Proceedings of the Second ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems (2013)

    Google Scholar 

  13. Martínez, L., Rodríguez, R.M., Espinilla, M.: REJA: a georeferenced hybrid recommender system for restaurants. In: Proceedings of IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, pp. 187–190 (2009)

    Google Scholar 

  14. Moura, H., et al.: Developing a ubiquitous tourist guide. In: Proceedings of the 19th Brazilian Symposium on Multimedia and the WebMedia (2013)

    Google Scholar 

  15. Sanders, L., Stappers, P.J.: From designing to co-designing to collective dreaming: three slices in time. Interactions 21(6), 24–33 (2014)

    Article  Google Scholar 

  16. Stojanovic, L., Maedche, A., Motik, B., Stojanovic, N.: User-driven ontology evolution management. In: Gómez-Pérez, A., Benjamins, V.R. (eds.) EKAW 2002. LNCS (LNAI), vol. 2473, pp. 285–300. Springer, Heidelberg (2002). https://doi.org/10.1007/3-540-45810-7_27

    Chapter  MATH  Google Scholar 

  17. Stickdorn, M., Zehrer, A.: Service design in tourism: customer experience driven destination management. In: Clatworthy, S. (ed.) Proceedings of the 1st Nordic Service Design Conference, Oslo, Norway (2009)

    Google Scholar 

  18. Tolk, A., Diallo, S.Y., Turnitsa, C.D.: Ontology driven interoperability – M&S applications, whitepaper in support of the I/ITSEC Tutorial 2548, VMASC report, Old Dominion University, Suffolk, VA (2006)

    Google Scholar 

  19. Tussyadiah, I.P.: Technology and behavioral design in tourism. In: Fesenmaier, D.R., Xiang, Z. (eds.) Design Science in Tourism. TV, pp. 173–191. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-42773-7_12

    Chapter  Google Scholar 

  20. Zhou, T., Kuscsik, Z., Liu, J., Medo, M., Wakeling, J.R., Zhang, Y.: Solving the apparent diversity-accuracy dilemma of recommender systems. Nat. Acad. Sci. 107(10), 4511–4515 (2010)

    Article  Google Scholar 

  21. https://www.tourism4-0.org/

  22. https://www.cntraveler.com/stories/2015-02-24/travel-apps-that-can-replace-your-tour-guide

  23. http://selftour.guide/

  24. http://selftour.guide/tours/napa-sonoma-valleys/

  25. https://www.rome2rio.com/

Download references

Acknowledgment

“The project is financed by the Ministry of Science and Higher Education in Poland under the programme “Regional Initiative of Excellence” 2019–2022 project number 015/RID/2018/19 total funding amount 10 721 040,00 PLN”.

Author information

Authors and Affiliations

  1. Faculty of Physical Education and Physiotherapy, Opole University of Technology, Prószkowska Street 76, 45-758, Opole, Poland

    Daria Hołodnik

  2. Wrocław University of Economics, Komandorska Street 118/120, 53-345, Wroclaw, Poland

    Kazimierz Perechuda

Authors
  1. Daria Hołodnik
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Kazimierz Perechuda
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to Daria Hołodnik or Kazimierz Perechuda .

Editor information

Editors and Affiliations

  1. Wrocław University of Science and Technology, Wrocław, Poland

    Ngoc Thanh Nguyen

  2. University of Pau and Pays de l'Adour, Pau, France

    Richard Chbeir

  3. University of Pau and Pays de l'Adour, Pau, France

    Ernesto Exposito

  4. University of Pau and Pays de l'Adour, Pau, France

    Philippe Aniorté

  5. Wrocław University of Science and Technology, Wrocław, Poland

    Bogdan Trawiński

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Hołodnik, D., Perechuda, K. (2019). Route Ontology in Value Recognition of Self-tour Planning Application. In: Nguyen, N., Chbeir, R., Exposito, E., Aniorté, P., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2019. Lecture Notes in Computer Science(), vol 11684. Springer, Cham. https://doi.org/10.1007/978-3-030-28374-2_30

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-28374-2_30

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-28373-5

  • Online ISBN: 978-3-030-28374-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation