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Dagstuhl Seminar 08471

Geographic Privacy-Aware Knowledge Discovery and Delivery

( Nov 16 – Nov 21, 2008 )


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Please use the following short url to reference this page: https://www.dagstuhl.de/08471

Organizers



Summary

The Dagstuhl-Seminar on Geographic Privacy-Aware Knowledge Discovery and Delivery was held during 16 - 21 November, 2008, with 37 participants registered from various countries from Europe, as well as other parts of the world such as United States, Canada, Argentina, and Brazil. Issues in the newly emerging area of geographic knowledge discovery with a privacy perspective were discussed in a week to consolidate some of the research questions. The Dagstuhl program included plenary sessions and special interest group meetings which continued even late in the evening with heated discussions. The plenary sessions were dedicated for the talks of some of the participants covering a variety of issues in geographic knowledge discovery and delivery. The reports on special interest group meetings (SIG) were also presented and discussed during the plenary sessions.

The topics of the talks presented during the plenary sessions could be summarized as:

  • Consolidation of the notion of trajectories
  • Semantic aspects of trajectories
  • Warehousing of trajectories
  • Mining of trajectories
  • Applications
  • Privacy and legal aspects

The special interest groups were formed to discuss in detail the (1) Definition and Semantics of Trajectories, (2) Applications of Anonymized Geographic Data. After each SIG meeting, a plenary meeting was organized to harmonize the results of the discussions and to share them with other interested researchers. A summary session was held for the SIG meetings to discuss open questions even basic ones regarding what a trajectory is and how do we define the specific area of knowledge discovery on geographic data, and application areas of privacy in trajectory data publication and analysis.


Participants
  • Luis Otavio Alvares (Federal University of Rio Grande do Sul, BR)
  • Gennady Andrienko (Fraunhofer IAIS - St. Augustin, DE) [dblp]
  • Natalia V. Andrienko (Fraunhofer IAIS - St. Augustin, DE) [dblp]
  • Vania Bogorny (UFRGS - Porto Alegre, BR)
  • Christopher W. Clifton (Purdue University - West Lafayette, US)
  • Maria Luisa Damiani (University of Milan, IT)
  • Joao Gama (University of Porto, PT) [dblp]
  • Fosca Giannotti (CNR - Pisa, IT)
  • Nikos Giatrakos (University of Piraeus, GR)
  • Ralf Hartmut Güting (FernUniversität in Hagen, DE)
  • Christine Körner (Fraunhofer IAIS - St. Augustin, DE)
  • Bart Kuijpers (Hasselt University - Diepenbeek, BE)
  • Jose Antonio Macedo (EPFL - Lausanne, CH)
  • Bradley Malin (Vanderbilt University - Nashville, US) [dblp]
  • Gerasimos Marketos (University of Piraeus, GR)
  • Stan Matwin (University of Ottawa, CA)
  • Michael May (Fraunhofer IAIS - St. Augustin, DE) [dblp]
  • Bart Moelans (Hasselt University - Diepenbeek, BE)
  • Daniela Nicklas (Universität Oldenburg, DE) [dblp]
  • Walied Othman (Hasselt University - Diepenbeek, BE) [dblp]
  • Christine Parent (University of Lausanne, CH)
  • Thomas Pedersen (Sabanci University - Istanbul, TR)
  • Dino Pedreschi (University of Pisa, IT) [dblp]
  • Nikos Pelekis (University of Piraeus, GR)
  • Alessandra Raffaetà (University of Venezia, IT)
  • Chiara Renso (ISTI-CNR - Pisa, IT) [dblp]
  • Salvatore Rinzivillo (ISTI-CNR - Pisa, IT)
  • Domenico Saccá (University of Calabria, IT)
  • Erkay Savas (Sabanci University - Istanbul, TR)
  • Yucel Saygin (Sabanci University - Istanbul, TR)
  • Stefano Spaccapietra (EPFL - Lausanne, CH)
  • Roberto Trasarti (ISTI-CNR - Pisa, IT)
  • Alejandro Vaisman (University of Buenos Aires, AR) [dblp]
  • Jan Van den Bussche (Hasselt University - Diepenbeek, BE) [dblp]
  • Qianhong Wu (Universitat Rovira i Virgili - Tarragona, ES)
  • Zhixian Yan (EPFL - Lausanne, CH)
  • Esteban Zimanyi (University of Brussels, BE) [dblp]

Classification
  • computer graphics / computer vision
  • data bases / information retrieval
  • security / cryptography
  • society / HCI

Keywords
  • spatio-temporal databases
  • data mining
  • privacy-preserving mining
  • data visualization