Data and expert-driven tourism knowledge modelling

M. Pichler. Data and expert-driven tourism knowledge modelling. pages 63-67, 4, 2016.

Autoren
  • Mario Pichler
Editoren
  • F. Fuchs
  • M. Lexhagen
  • W. Höpken
BuchProceedings of the IFITTtalk@Östersund Workshop on Big Data & Business Intelligence in the Travel & Tourism Domain
TypIn Konferenzband
VerlagMld Sweden University
ISBN978-91-88025-62-3
Monat4
Jahr2016
Seiten63-67
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).