Global Positioning System Reference
In-Depth Information
When dealing with offl ine services in mobile environments, it is very
important to fi lter, in advance, the information of interest by the users in
order to minimize the storage of the required information and to maximize
the users' satisfaction with the provided information. To perform such
personalization it is necessary to be aware of the context in which the user
is placed. In our particular case, the context may be defi ned by the user
preferences, the user-traveling confi guration (how the user is traveling,
whether the user travels with friends or family, the time of the route, the
place where the route will be done, etc.). By using semantic information it
is possible to defi ne the contexts the user can found and what information
is more relevant for each possible context. For example, using a single
ontology, it would be easy to defi ne what points of interest are relevant
when traveling with children, and then they can be used to propose
routes for travelers who travel with family. In addition, using semantics
may provide other benefi ts, such as the possibility of reusing existent and
standard information and the ability of improving the proposed system
only by extending the current ontologies with new information.
Hence, we propose to create a tourism application that integrates
Semantic Web and a location-aware system in a smartphone working
locally, off-line.
Expected System
At this point we have analyzed the current state of the art of the technologies
needed to answer the research question and have seen that there is
currently no solution that fi ts the project requirements described in Section
“Introduction”: the creation of a location-based mobile application that works
offl ine and provides the user's personalization. This section proposes a
system to integrate these missing functionalities in a smartphone system.
The current missing features in a location-aware system are: 1) to offer
personalized results to every single user by fi ltering the information and
automatically adapt the fi ltered information to each user according to her
or his profi le and preferences, 2) to provide GIS functionalities, and 3) to
execute both 1) and 2) in a smartphone without Internet connection. As a
case study and proof of concept a tourism application is designed.
To offer personalization of routes and work without Internet connection
a system may use the following Semantic Web technologies:
• Ontology for each domain of the project (user preferences, tourism,
time and historic of routes) that will be the core of the RS.
• Framework to store and manage RDF data in smartphone.
• Spatial reasoning to create a system that performs simple geographic
operations over spatial RDF data.
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