Abstract
Data Warehouse (DW) technology is a new discipline, which has not yet been broadly applied to tourism area, and in the soaring field (paragliding, sailplane, hang gliding, etc) in particular. Site selection process depends on a number of factors, making it a complex decision-making task. It is common for the decision makers to use their subjective judgment and gut feelings based on their experience in selecting the most appropriate place for soaring. The reason is that data for place selection originate from varied sources and are not organized in a format that decision makers can readily use to derive any meaningful information. To solve this problem, the integration of a data warehouse and a Decision Support System (DSS) seems to be efficient to help retrieve data from different databases and information sources and analyze them in order to provide useful and explicit information. Data warehousing is based on online analytical processing (OLAP) concept. The users can also generate data trends over a period of time to make any forecasts. In this paper we will describe how new information technology techniques as data warehousing can be used in the tourism industry. How to analyze the successes and failures of finished gliding routes and how to use the existing data to analyze patterns and trends for new gliding are the problems we have to face.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
References
Abad, M. M., Arias D., Martos, P., Pretifies A. (2001). Strategic approach and innovation in alternative Tourist Services (in Spanish). Conferencia de Turismo en ciudades monumntales, Granada, Spain.
Araque, F. & Samos, J. (2003). Data warehouse refreshment maintaining temporal consistency. 5th Intern. Conference on Enterprise Information Systems, ICEIS’03.Angers. France.
Araque, F. (2002). Data Warehousing with regard to temporal characteristics of the data source. IADIS WWW/Internet Conference. Lisboa, Portugal.
Araque, F. (2003a). Real-time Data Warehousing with Temporal Requirements. Decision Systems Engineering, DSE’03 (the CAISE’03 conference). Klagenfurt/Velden, Austria.
Araque, F. (2003b). Integrating heterogeneous data sources with temporal constraints using wrappers. The 15th Conference On Advanced Information Systems Engineering. Caise Forum.Klagenfurt/Velden. Austria.
Chaudhuri, S., & Dayal, U. (1997). OLAP technology and data warehousing, ACM SIGMOD Records, Hewlett-Packard Labs.
Haller, M, Pröll, B., Retschitzegger, W., Tjoa, A. M., & Wagner, R. R. (2000). Integrating Heterogeneous Tourism Information in TIScover-The MIRO-Web Approach. Proc. Of Information and Communication Technologies in Tourism, ENTER 2000. Barcelona.
Hammer, J., García-Molina, H., Widom, J., Labio, W., & Zhuge, Y. (1995). The Stanford Data Warehousing Project. IEEE Data Engineering Bulletin.
Harinarayan, V., Rajaraman, A., & Ullman, J. (1996). Implementing Data Cubes Efficiently. Proc. of ACM SIGMOD Conference. Montreal.
Inmon W.H. (2002). Building the Data Warehouse. John Wiley.
Kimball, R., & Ross, M. (2002). The Data Warehouse Toolkit: The Complete Guide To Dimensional Modeling, 2nd Edition. John Wiley.
Kirkgöze, R., & Tjoa, A. M. (1998). The Use of Data Warehouses as a Basis for Strategic Decision in Tourism. Proc. Information and Communication Technologies in Tourism, ENTER 98. pp. 162–169. Springer Verlag, D. Buhalis/ A M. Tjoa/ J. Jafari (eds.).
Moura Pires, J., Pantoquilho, M., & Viana, N. (2004). Real-Time Decision Support System for Space Missions Control. International Conference on Information and Knowledge Engineering, Las Vegas, USA.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Wien
About this paper
Cite this paper
Araque, F., Salguero, A., Abad, M.M. (2006). Application of data warehouse and Decision Support System in soaring site recommendation. In: Hitz, M., Sigala, M., Murphy, J. (eds) Information and Communication Technologies in Tourism 2006. Springer, Vienna. https://doi.org/10.1007/3-211-32710-X_42
Download citation
DOI: https://doi.org/10.1007/3-211-32710-X_42
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-30987-2
Online ISBN: 978-3-211-32710-4