D2.1: Inventory of Topics and Clusters

Title: MODEL TEMPLATE

The structure of the specification of the different term in the WIKI can follow a certain number of templates and guidelines. For instance each term can be specified using a certain number of facets that can be mandatory or not. 

The facets that are available include: 

1. definition
   represents an abstract and very synthetic description of the term;

2. related terms
   other terms that have some relationships such as synonymy;

3. Issues
   present to list the different issues that can be associated to this term;

4. Application domain
   application domain in which this term is the more likely to appear;

5. Examples
   examples in which the term can intervene;

6. References
   bibliographical reference relevant that can be used illustrate the understanding of a  term;

7. Authors
   Author having participated to the specification of this term

8. Etc. (other facets will progressively be added) 

Example

Example of the (preliminary) definition of the term Profiling: 

Definition: Profiling

Online profiling is a complex concept that is subject to different definitions. It may mean the collection of anonymous transactional data that is used to create targeted advertisements; it may also mean the merger of clickstream data with personally identifiable information. 

Related terms: 

profile, data-mining, trace, abstracted identity,

Issues: 

privacy, …

Application domain: 

e-commerce, money laundering, …

Examples: 

Privacy and Consumer Profiling, http://www.epic.org/privacy/profiling/

DoubleClick 

Products: 

CircBase® Prospect Plus Database includes active subscriber information from leading magazines willing to share their customers for non-competitive offers. Readership preferences provide a strong indicator of consumers’ lifestyle, activities and interests. 

http://www.experian.com/products/circbase_prospectplus.html

References: 

CDT’s profiling FAQ at http://www.cdt.org/privacy/guide/start/track.html

Greg Elmer; Profiling Machines (Mapping the Personal Information Economy); MIT Press, ISBN 0-262-05073-0, January 2004 

In this book Greg Elmer brings the perspectives of cultural and media studies to the subject of consumer profiling and feedback technology in the digital economy. He examines the multiplicity of processes that monitor consumers and automatically collect, store, and cross-reference personal information. 

http://mitpress.mit.edu/catalog/author/default.asp?aid=18786

Canhoto Ana Isabel and James Backhouse, (2004); Constructing categories, Constructing signs 

- analysing differences in Suspicious Transaction Reporting practice; IS-CORE 2004 - 4th Annual SIG IS Cognitive Research Workshop; Submitted. 

http://internal.fidis.net/154.0.html?&dir=/Papers&mountpoint=5

Contributors: 

Lothar Fritsch (provided it in the WP7 forum)

Mireille Hildebrandt (provided it in the WP7 forum)