Presented at: 9th Extended Semantic Web Conference (ESWC2012)
by Leo Wanner, Ari Karppinen, Ioannis Kompatsiaris, Tarja Koskentalo, Simon Mille, Jürgen Moßgraber, Anastasia Moumtzidou, Maria Myllynen, Emanuele Pianta, Horacio Saggion, Luciano Serafini, Marco Rospocher, Virpi Tarvainen, Sara Tonelli, Stefanos Vrochidis, Harald Bosch, Nadjet Bouayad-Agha, Ulrich Bügel, Gerard Casamayor, Thomas Ertl, Desiree Hilbring
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 demonstration, we present an environmental information system that addresses this demand in its full complexity in the context of the PESCaDO EU project. Specifically, we will show 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-based knowledge base, from which then information relevant to the specific user is deduced and communicated in the language of their preference.
Keywords: environmental decision support system, information system, ontology-based text generation
Resource URI on the dog food server: http://data.semanticweb.org/conference/eswc/2012/paper/demonstation/363
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