Strategies for E-Commerce Applications in Tourism

Wolfram Wöß, Franz Pühretmair, Jürgen Palkoska, Roland Wagner

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

Abstract

Tourism industry has more and more realized the potential of Web-based tourism information systems (TIS) to increase the competitiveness by providing individual and specialized information about tourism objects. This lead to a broad spectrum of tourism information systems distributed over various Web sites. But the described situation is not really satisfying for users of such systems, the tourists, which require flexible and easy-to-use search functionalities and adequate user interfaces. To fulfill the tourists request for an extensive data collection on the one hand and to provide adequate search functionalities on the other hand, it is necessary to make accumulated data from different sources accessible. The integration of distributed data sources has great impact on the quality of tourism information systems and follows the trend not to implement further systems, but to extend and improve existing systems. Beside data integration, in this paper flexible electronic data interchange mechanisms, advanced search functionalities and powerful visualization possibilities are identified as the most important strategies to improve and enhance near future tourism information systems.
Original languageEnglish
Title of host publicationEC-Web 2003
Number of pages12
Volume2738
Publication statusPublished - Sept 2003

Publication series

NameLecture Notes in Computer Science (LNCS)
ISSN (Print)0302-9743

Fields of science

  • 102001 Artificial intelligence
  • 102006 Computer supported cooperative work (CSCW)
  • 102010 Database systems
  • 102014 Information design
  • 102015 Information systems
  • 102016 IT security
  • 102028 Knowledge engineering
  • 102019 Machine learning
  • 102022 Software development
  • 102025 Distributed systems
  • 502007 E-commerce
  • 505002 Data protection
  • 506002 E-government
  • 509018 Knowledge management
  • 202007 Computer integrated manufacturing (CIM)
  • 102033 Data mining
  • 102035 Data science

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