Abstract
High quality product data is a necessary prerequisite for supporting efficient browsing and recommendation procedures on e-commerce platforms. This is especially true for the tourism domain where an abundance of information can easily overwhelm users. Although classification data such as to which category (e.g. accommodation, restaurant or sight) a tourism product belongs is usually directly available, qualitative information, such as proximity to a lake or opportunities for dining or shopping, is rarely provided in a structured way. As a consequence, users can not restrict their search on these criteria; rather, it would require costly manual information acquisition efforts. In this paper we propose an approach that automatically associates such qualitative concepts with tourism products based on their geographic coordinates and their spatial proximity. An initial evaluation of the approach that considered automatically generated annotations within different regions suggests that it can be used as an alternative to domain experts.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
References
Adomavicius, G., Sankaranarayanan, R., Sen, S., and Tuzhilin, A. (2005), “Incorporating Contextual Information in Recommender Systems Using a Multidimensional Approach.” IEEE Transactions on Information Systems, vol. 23(1), pp. 103–145.
Adomavicius, G., and Tuzhilin, A. (2005), “Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions.” IEEE Transactions on Knowledge and Data Engineering, vol. 17(6), pp. 734–749.
Burke, R. (2000), “Knowledge-based Recommender Systems.” Encyclopedia of Library Information Systems, vol. 69(2), pp. 180–200.
Chajed, D.R., Francis, L., and Lowe, T.J. (1993), “Contributions of Operations Research to Location Analysis”, Location Science, 1(4), pp. 263–287.
Dickinger, A., Scharl, A., Stern, H., Weichselbraun, A., and Wöber, K. (2008), “Acquisition and Relevance of Geotagged Information in Tourism,” Proceedings of the Information and Communication Technologies in Tourism (ENTER), Innsbruck, pp. 545–555.
Dill, S., Eiron, N., Gibson, D., Gruhl, D., Guha, R., Jhingran, A., Kanungo, T., Rajagopalan, S., Tomkins, A., Tomlin, J.A., and Zien, J.Y. (2003), “SemTag and Seeker: Bootstrapping the Semantic Web via Automated Semantic Annotation.” Proceedings of the Twelfth International World Wide Web Conference (WWW), Budapest, Hungary, ACM, pp. 178–186.
Felfernig, A., Friedrich, G., Jannach, D., and Zanker, M. (2006), “An Integrated Environment for the Development of Knowledge-Based Recommender Applications.” International Journal of Electronic Commerce (IJEC), Special Issue on Recommender Systems, 11(2), pp. 11–34.
Fesenmaier, D.R., Ricci, F., Schaumlechner, E., Wöber, K., and Zanella, C. (2003). “DIETORECS: Travel Advisory for Multiple Decision Styles.” Proceedings of the Information and Communication Technologies in Tourism (ENTER), Helsinki.
Herlocker, J., Konstan J. A., Terveen, L.G., and Riedl, J. (2004), “Evaluating collaborative recommender systems.” ACM Transactions on Information Systems, vol. 22(1), pp. 5–53.
Jannach, D., Zanker, M., Jessenitschnig, M., and Seidler, O. (2007). Developing a Conversational Travel Advisor with ADVISOR SUITE, Proceedings of the Information and Communication Technologies in Tourism (ENTER), Ljubljana.
Miles, G. E., Howes, A. and Davies, A. (2000), “A framework for understanding human factors in web-based electronic commerce,” International Journal on Human-Computer Studies, vol. 52, pp. 131–161.
Reeve, L., and Han, H. (2005), “Survey of Semantic Annotation Platforms.” Proceedings of the 20th ACM Symposium on Applied Computing, Santa Fe, New Mexico, ACM, pp. 1634–1638.
Scharl, A., and Tochtermann, K. (2007), “The Geospatial Web — How Geobrowsers, Social Social Software and the Web 2.0 are Shaping the Network Society.” London: Springer.
Venturini, A., and Ricci, F. (2006), “Applying trip@advice recommendation technology to www.visiteurope.com.” In Proceedings of the 17th European Conference on Artificial Intelligence, Amsterdam, IOS Press, pp. 607–611.
Wang, C., Xie, X., Wang, L., Lu, Y., and Ma, W.-Y. (2005), “Detecting Geographic Locations from Web Resources,” Proceedings of the 13th ACM International Symposium on Advances in Geographic Information Systems (GIR), Bremen, Germany.
Weisstein, E.W. (2008), “Spherical Trigonometry.” From MathWorld — A Wolfram Web Ressource. Available from http://mathworld.wolfram.com/Spherical Trigonometry.html.
Werthner, H. (2003), “Intelligent Systems in Travel and Tourism.” Proceedings of the 18th International Joint Conference on Artificial Intelligence (IJCAI), Acapulco, Mexico.
World Tourism Organisation (2002), “Thesaurus on tourism and leisure activities” of the World Tourism Organization. Available from http://www.unwto.org.
Zanker, M. (2008), “A collaborative constraint-based meta-level recommender.” Proceedings of the 2nd International ACM Conference on Recommender Systems (RecSys), Lausanne, Switzerland, pp. 139–146.
Zanker, M., Jessenitschnig, M., Jannach, D., and Gordea, S. (2008), “Comparing recommendation strategies in a commercial context.” IEEE Intelligent Systems, Special issue on Recommender Systems, Vol. 22(3), 2007, pp. 69–73.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag/Wien
About this paper
Cite this paper
Zanker, M., Fuchs, M., Seebacher, A., Jessenitschnig, M., Stromberger, M. (2009). An Automated Approach for Deriving Semantic Annotations of Tourism Products based on Geospatial Information. In: Höpken, W., Gretzel, U., Law, R. (eds) Information and Communication Technologies in Tourism 2009. Springer, Vienna. https://doi.org/10.1007/978-3-211-93971-0_18
Download citation
DOI: https://doi.org/10.1007/978-3-211-93971-0_18
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-93970-3
Online ISBN: 978-3-211-93971-0