Data and expert-driven tourism knowledge modelling

Authors Mario Pichler
Editors F. Fuchs
M. Lexhagen
W. Höpken
Title Data and expert-driven tourism knowledge modelling
Booktitle Proceedings of the IFITTtalk@Östersund Workshop on Big Data & Business Intelligence in the Travel & Tourism Domain
Type in proceedings
Publisher Mld Sweden University
ISBN 978-91-88025-62-3
Month April
Year 2016
Pages 63-67
SCCH ID# 1628
Abstract

The global environment, society and economy are parts of a complex networked system or even of a complex network of interacting systems. Tourism has been recognized as an interdisciplinary field that affects stakeholders of many domains, e.g., transportation, accommodation, gastronomy, trade and industry. Therefore, tourism can be supposed (and even represented) as a networked system of tourism-related aspects (e.g. stakeholders, economic drivers) and mutual influences and dependencies between those network components (cf. Scott et al., 2008; Baggio & Cooper, 2010; McLeod & Vaughan, 2014 etc.). From a systems perspective, the tourism domain can be seen as a complex system (Mitchell, 2011).