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Building an environmental information system for personalized content delivery

: Wanner, L.; Vrochidis, S.; Tonelli, S.; Moßgraber, J.; Bosch, H.; Karpinnen, A.; Myllyen, M.; Rospocher, M.; Bouayad-Agha, N.; Bügel, U.; Casamayor, G.; Ertl, T.; Kompatsiaris, I.; Koskentalo, T.; Mille, S.; Moumtzidou, A.; Pianta, E.; Saggion, H.; Serafini, L.; Tarvainen, V.

Postprint urn:nbn:de:0011-n-1795822 (305 KByte PDF)
MD5 Fingerprint: 8d133dbd40bf8c025896ed37a6ecae92
The original publication is available at
Erstellt am: 13.9.2011

Hrebicek, J. ; International Federation for Information Processing -IFIP-, Working Group 5.11 Computers and Environment:
Environmental Software Systems. Frameworks of eEnvironment : 9th IFIP WG 5.11 International Symposium, ISESS 2011, Brno, Czech Republic, June 27-29, 2011; Proceedings
Berlin: Springer, 2011 (IFIP advances in information and communication technology 359)
ISBN: 978-3-642-22284-9
ISBN: 3-642-22284-6
ISBN: 978-3-642-22285-6
International Symposium on Environmental Software Systems (ISESS) <9, 2011, Brno>
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IOSB ()
environmental information service; environmental node discovery; knowledge; personalization; infrastructure; service

Citizens are increasingly aware of the influence of environmental and meteorological conditions on the quality of their life. This results in an increasing demand for personalized environmental information, i.e., information that is tailored to citizens' specific context and background. In this work we describe the development of an environmental information system that addresses this demand in its full complexity. Specifically, we aim at developing a system that supports submission of user generated queries related to environmental conditions. From the technical point of view, the system is tuned to discover reliable data in the web and to process these data in order to convert them into knowledge, which is stored in a dedicated repository. At run time, this information is transferred into an ontology-structured knowledge base, from which then information relevant to the specific user is deduced and communicated in the language of their preference.