engleski

Developing Factual Knowledge from Medical Data by Composing Ontology Structures

Decision support systems in medical applications essentially rely on knowledge acquired from existing patient databases. The core task in developing knowledge from such raw data is a mapping from the relational data model to the domain ontology structure. The paper will explicate the mapping process by introducing a software agent with extract, transform and load capabilities. The agent is able to read the data from the database and transform it to the ontology knowledge representation that can be effectively used by the embedded reasoning engine of the decision support system.

ontology; decision support; data extraction

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