Dynamic Configuration of a Personalized Tourist Agenda

In this paper we claim that the new generation of Web-based systems should offer an intelligent, flexible and interactive support to their users, coupled with the ability to provide personalized solutions. We think that problem solving techniques could be exploited to face this challenge. In particular, we present STAR, a Web-based system that exploit the configuration technology in order to support a tourist in organizing a personalized agenda for a tour in a city. We describe the system architecture and the knowledge representation supporting this task. A first prototype of STAR is being implemented and it is instantiated on the city of Torino (Italy).

[1]  Jon R. Wright,et al.  An Industrial-Strength Description-Logics-Based Configurator Platform , 1998, IEEE Intell. Syst..

[2]  Reijo Sulonen,et al.  Unified Configuration Knowledge Representation Using Weight Constraint Rules , 2000 .

[3]  Stefan Poslad,et al.  Personalized and Location-based Mobile Tourism Services , 2002 .

[4]  Craig A. Knoblock Building Software Agents for Planning, Monitoring, and Optimizing Travel , 2004, ENTER.

[5]  Brian Falkenhainer,et al.  Dynamic Constraint Satisfaction Problems , 1990, AAAI.

[6]  Elke Michlmayr,et al.  Designing LoL@, a Mobile Tourist Guide for UMTS , 2002, Mobile HCI.

[7]  Greg Linden,et al.  Interactive Assessment of User Preference Models: The Automated Travel Assistant , 1997 .

[8]  Eugene C. Freuder,et al.  Configuration as Composite Constraint Satisfaction , 1996 .

[9]  Ulrich Junker,et al.  The Logic of ILOG ( J ) Configurator : Combining Constraint Programming with a Description Logic , 2003 .

[10]  Reijo Sulonen,et al.  Towards a general ontology of configuration , 1998, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[11]  Keith Cheverst,et al.  Developing a context-aware electronic tourist guide: some issues and experiences , 2000, CHI.

[12]  Francesco Ricci,et al.  ITR: A Case-Based Travel Advisory System , 2002, ECCBR.

[13]  Boi Faltings,et al.  SmartClients: Constraint Satisfaction as a Paradigm for Scaleable Intelligent Information Systems , 2004, Constraints.

[14]  R. Malaka,et al.  DEEP MAP: Challenging IT Research In The Framework Of A Tourist Information System , 2000 .

[15]  Pietro Torasso,et al.  Decomposition strategies for configuration problems , 2003, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.