Resources
Identity Use Cases & Scenarios.
FIDIS Deliverables.
Identity of Identity.
Interoperability.
Profiling.
D7.2: Descriptive analysis and inventory of profiling practices.
D7.3: Report on Actual and Possible Profiling Techniques in the Field of Ambient Intelligence.
D7.4: Implications of profiling practices on democracy.
D7.6 Workshop on AmI, Profiling and RFID.
D7.7: RFID, Profiling, and AmI.
D7.8: Workshop on Ambient Law.
D7.9: A Vision of Ambient Law.
D7.10: Multidisciplinary literature selection, with Wiki discussion forum on Profiling, AmI, RFID, Biometrics and Identity.
D7.11: Kick-off Workshop on biometric behavioural profiling and Transparency Enhancing Technologies.
Forensic Implications.
HighTechID.
Privacy and legal-social content.
Mobility and Identity.
Other.
IDIS Journal.
FIDIS Interactive.
Press & Events.
In-House Journal.
Booklets
Identity in a Networked World.
Identity R/Evolution.
In FIDIS Deliverable 7.2, profiling is defined as:
“The process of constructing profiles (correlated data) that identify and represent a person or a group/category/cluster, and/or the application of profiles to a person as a member of a specific group/category/cluster”.
As has been mentioned in FIDIS deliverable 7.2, the concept of personalised profiling is of great importance for AmI, as AmI is basically the most radical and extensive form of targeted servicing one can image. Personalised profiling aims to construct profiles that allow targeted advertising, targeted servicing and customisation; AmI revolutionises such applications. We shall briefly refer to the distinction made in deliverable 7.2 between personalised and group profiling.
Group profiling concerns the construction and/or application of correlated data sets, based on searching large databases. The correlations and patterns that emerge can highlight specific characteristics of an already existing group (like the members of a political party, members of a class in high school) or they can form the construction of the group/cluster/category itself. Group profiling is relevant for AmI in as far as service providers use group profiles to service their customers.
Personalised profiling concerns the construction of a set of correlated data, on the basis of data processing of one particular individual. For AmI, personalised profiling seems the most exemplary, because AmI aims at providing seamlessly customised (individualised) services.
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