Ontology-centered environmental information delivery for personalized decision support

Data on observed and forecasted environmental conditions, such as weather, air qualityand pollen, are offered in a great variety in the web and serve as basis for decisions taken by a widerange of the population. However, the value of these data is limited because their quality varies largelyand because the burden of their interpretation in the light of a specific context and in the light of thespecific needs of a user is left to the user herself. To remove this burden from the user, we propose anenvironmental decision support system (DSS) model with an ontology-based knowledge base as itsintegrative core. The availability of an ontological knowledge representation allows us to encode in auniform format all knowledge that is involved (environmental background knowledge, thecharacteristic features of the profile of the user, the formal description of the user request, measured orforecasted environmental data, etc.) and apply advanced reasoning techniques on it. The result is anadvanced DSS that provides high quality environmental information for personalized decision support.