Architecture for Including Personalization in a Mobile GIS via Semantic Web Techniques - Geographical Information Systems: Trends and Technologies - page 213

Since the topic of this chapter is focused on a location-based application
that offers touristic routes considering user preferences, the ontologies
described in this section deal with the domains related with touristic
location-based services and the user preferences; i.e., our goal is to offer the
tools to build a CARS. These domains and associated ontologies are:
Tourism . Harmonise Ontology (Ontologyan 2011) contains around 200
concepts and properties, which are mainly focused on accommodation,
events and activities, gastronomy, monuments and places of interest. The
ontology Cruzar (Mínguez et al. 2010) has been developed to facilitate the
calculus of touristic routes within the city of Zaragoza according to the
profi le and context of each user. DERI e-Tourism Ontology is an ontology
created to support a web portal that supports touristic searches using
Semantic Web technologies (Siorpaes 2005).
Time . TimeOntology (W3C 2006) provides a vocabulary for expressing facts
about topological relations among instants and intervals, together with
information about durations, and about date time information.
User Information . FOAF (W3C 2010) is used to represent user information,
tastes, preferences and even their participation and interventions in social
networks.
Mobile devices . WURFL (ScientiaMobile 2011) provides information on
thousands of mobile devices and their characteristics. Delivery Context
ontology (W3C working group 2010) allows describing the characteristics
of mobile devices (hardware, software and network information of the data
connection it uses). Mio! Network Ontology (Poveda et al. 2010) defi nes
a network of ontologies to represent knowledge related to the context of
a user, including information like: where is the user, which are his or her
preferences and information about his or her device. Such information
would be useful to fi lter what information makes sense to send to each user,
what is the best delivery format for each user and what kind of information
is not available in the user mobile device.
Note that with mobile ontologies we mean ontologies that allow
defi ning the information of the internal sensors of mobile devices, but also
information about their other hardware, capabilities and functionalities.
The goal is to use the ontology information not only to locate the user, but
also to allow proactive recommendations. A proactive system like that
would be able to detect in which data format the information should be
delivered to a user according also to the limitations of the cell phone. This
system would be able to deliver the information in an audio format when
the battery of the mobile device is low, avoiding the use of the screen and
therefore saving battery.