SeMFIS - Semantic based Modeling Framework for Information Systems
"The aim of the Semantic-based Modeling Framework for Information Systems (SeMFIS) is to allow for the semantic enrichment of conceptual modeling languages that represent a particular knowledge area. For this purpose it provides configurable meta models, mechanisms and algorithms that extend the modeling language of the knowledge area and enable the user to apply advanced semantic processing.
Due to the flexible approach of SeMFIS, it can be easily adapted to arbitrary knowledge areas. The current implementation of the SeMFIS framework provides an exchange mechanism with the Protégé toolkit developed by Stanford University to integrate data from OWL ontologies in the modeling framework and make it available for the annotation of model elements. The available prototype is based on a knowledge area from business informatics to demonstrate the applicability of the approach."