Airport context analytics

Katsiri, E, Papastefanatos, G, Terrovitis, M and Sellis, T 2014, 'Airport context analytics', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8741, pp. 179-184.


Document type: Journal Article
Collection: Journal Articles

Title Airport context analytics
Author(s) Katsiri, E
Papastefanatos, G
Terrovitis, M
Sellis, T
Year 2014
Journal name Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume number 8741
Start page 179
End page 184
Total pages 6
Publisher Springer Verlag
Abstract Airports today can constitute a perfect environment for developing novel digital marketplaces offering location-specific and semantically rich context-aware services, such as personalized marketing campaigns, last minute, discounted airline tickets while helping users access the airport and speed through the airport process. Underpinning the above vision is the ability to target service content to users' current context, e.g., their location, intent, environment, in real time. The contribution of this work is that it uses a pervasive computing system with three key ingredients: (a) a data model, comprising user and service content entities, (b) a user context model and (c) rules for simple pattern matching on service content and user context event streams. This modus operandi is encapsulated inside a SOA architecture, the Common Airport Portal - CAP and it is illustrated through the description of a real application, Offers and Coupons Services that was deployed recently at Athens International Airport (AIA) (http://airpoint.gr).
Subject
Keyword(s) Airport information systems
Context-awareness
Personalisation
Real-time analytics
Rule-based reasoning
System implementation
Copyright notice © Springer International Publishing Switzerland 2014
ISSN 0302-9743
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