Abstract
Personalized online tourism services play a crucial role for tourists. In
order to deliver adequate information, a semantic matching between tourism
services and user context is needed. In the phase of trip planning, the
essential user context comprises primarily user preferences and interests,
while during the trip location and time context are added. While being on
the move, unexpected events might force tourists to completely reschedule
their travel plan and look for alternatives. In order to facilitate semantic
matching between alternative touristic sites and user context, a specific
vocabulary for the tourism domain, user type, time and location is needed.
We demonstrate in this paper that existing tourism ontologies can hardly
fulfill this goal as they mainly focus on domain concepts. The goal of this
paper is to provide an alternative approach for covering the semantic space
of tourism through the integration of modularized ontologies, such as user,
W3C Time or W3C Geo, that center around a core domain ontology for the
tourism sector.
| Original language | English |
|---|---|
| Title of host publication | ACM International Conference Proceeding Series Proceedings of the 1st Workshop on Context, Information and Ontologies Heraklion, Greece |
| Publisher | ACM, New York, USA |
| Number of pages | 8 |
| ISBN (Print) | 978-1-60558-528-4 |
| Publication status | Published - Jun 2009 |
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
