Airport Context Analytics

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).