Using automated reasoning system for data model correctness analysis

Data modeling is one of the most important activities in the process of information systems development which is based on domain knowledge in specific area. This paper presents a system for analyzing data model correctness from both syntax and semantic aspect. The system is based on using ontology for domain knowledge representation, transformation of data models and ontology to predicate logic form and their integration with data model quality rules. All components of the system are integrated by using XML form of their results. They create an input for an automated reasoning system, that provide answers regarding data model correctness.