Use of ontologies for decision support generation and analysis

The purpose of this paper is to illustrate the benefits of using ontologies to generate various artificial intelligence exchange and service tie to all test environments (AI-ESTATE - IEEE Std 1232trade-2002) diagnostic models. One of these benefits is the ability to take engineering information and create multiple models from the same information, thereby reducing the possibility of translation errors. Another benefit offered in the use of an ontology is the ability to determine all possible diagnoses that lead to a particular indictment, thereby making the diagnostic model´s coverage explicit. The ontology will be created using the OWL Web ontology language. The generation of the AI-ESTATE diagnostic models will be based on the use of description logic. Description logic will also be used to perform the coverage analysis