Database Reference
In-Depth Information
of a rigorous methodology for the comparison of privacy solutions. Recent
approaches propose metrics based on the recent paradigm of differential privacy.
However, the specification of generalized metrics, while fundamental to creating
a corpus of rigorous concepts, cannot be seen as the panacea for privacy. Privacy
is eminently a user-centric requirement. In this view we believe that any privacy
solution should be eventually validated by users. Accordingly, the aspect of
privacy usability is a prime issue.
Privacy usability has multiple dimensions. One of these dimensions is person-
alization, that is, letting the user specify the requested amount of privacy. Another
one is privacy adaptability, that is, the amount of protection varies based on the
context. It is also important to consider the privacy requirements emerging from
novel applications. While most of existing research on location privacy focuses
on privacy in location-based querying in LBS, novel applications are emerging
calling for location privacy solutions. We mention in particular mobile sens-
ing applications (i.e., acquiring geo-referenced data through sensors installed
on mobile devices), location-sharing applications in geo-social network (e.g.,
place check-ins), and location services, that is, requesting location data to a third
party.
Trajectory Analysis
As long as mere spatio-temporal trajectories are concerned, trajectory analysis
significantly benefits from the existing knowledge in data mining, knowledge
extraction, and visualization. Semantic enrichment of movement data leads to
higher levels of analysis. Instead of just discovering movement patterns, research
and applications are turning toward analyzing moving objects' behaviors. Their
discovery now represents one of the most popular uses of mobility data and
possibly the ultimate goal of trajectory analyses. Lifting up the analysis to
the semantic level largely remains to be explored. This topic is specifically
addressed, for example, in the SEEK project
4
where methods to semantically
enrich the trajectory knowledge discovery process are investigated. Understand-
ing why and how people and animals move, which places they visit and for what
purposes, their activities, and what resources they use is of tantamount impor-
tance for all kinds of decision makers, in particular public authorities in charge
of managing societal resources. The relative novelty of the domain leaves many
avenues for future work open. Many experiences have been made in a great
variety of application domains and using a great variety of techniques, but much
more work has to be done by the research community to build the scientific
corpus that enables new applications to be developed easily, promptly, and on a
sound base. The active involvement of domain experts is a necessary condition
for such development.
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http://www.seek-project.eu
