DEVELOPMENT OF ONTOLOGICAL KNOWLEDGE BASE FOR INTELLIGENT DECISION SUPPORT SYSTEM IN WATER MANAGEMENT
This paper deals with the problem of knowledge representation for CBR-based system in water management of Elbe river. An ontological model for knowledge representation was designed. The knowledge representation model is formally represented by the OWL DL ontology. The developed case representation model permits on the basis of ontological representation of domain knowledge to realize a CBR process effectively and to provide semantic interoperability of case-based reasoning. The ontological knowledge base for intelligent decision support system was developed.