Semantic-based Modeling Framework for Information Systems

Keywords: Ontologies, OWL, Semantic annotation, Semantic-based Modelling

Affiliation: Hans-Georg Fill, University of Fribourg

Area of Application

Knowledge areas that can be expressed using (visual) meta modeling techniques and that benefit from semantic processing functionalities.
Example fields include: Semantic Business Process and Workflow Management, Semantic Enterprise Architecture Management, Semantic Performance Management,etc


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.

Participate in our survey on SeMFIS

The SeMFIS library and the tools can be used free of charge provided that any extensions or modifications are transferred back to the SeMFIS Community here on OMiLAB and made publicly available.

SeMFIS has been partly funded by the Austrian Science Fund (FWF), grant number J3028-N23 as well as by research fundings from the University of Vienna and through industrial research projects.