Exploiting Linked Open Data for Mobile Augmented Reality
Vinny Reynolds, Michael Hausenblas, Axel Polleres, Manfred Hauswirth, Vinod Hegde.
Digital Enterprise Research Institute (DERI), National University of Ireland, Galway
In this position paper we discuss future directions for mobile augmented reality applications.
In particular we focus on "world reference" augmented reality applications that present the
user with content within the mobile browser that augments the reality with information about
local points of interest such as historical sights, nearby bus stops and cafes. These
applications can be generally characterised by the display of points of interest obtained from
the execution of spatial queries on a database of these points. As a result, the user has a very
domain-specific browsing experience. i.e., is “locked-into” the content of the specific
database. Examining existing architectures of augmented reality applications, we observe
issues regarding selection and integration of data sources, utilisation of contextual
information, and eventually the browsing experience. To address these issues, we propose to
exploit Linked Open Data for (mobile) augmented reality applications.
The Future of Mobile Augmented Reality?
Imagine the following scenario: Anthony tells his mobile device: "I'm hungry and only got 20
bucks - find me something to eat, not far away". The mobile device, equipped with an
advanced AR browser, shows three matches in an 500m radius, overlaid on the image the
device's camera captures. A local Indian restaurant is prioritised above others by the browser
which has built up a profile of Anthony's favourite cuisines after previous searches. However
today Anthony is feeling adventurous and decides against the restaurant which was
highlighted. He asks the AR browser: "anything around my friends would recommend?". The
device pulls in restaurant reviews from Anthony's contacts and comes up with a new