This project is performed in master studies at the University of Applied Science of Northwestern Switzerland, Business Information Systems, in Summer 2009. Tackling information-overflow and trying to increase precision figures by neglecting less relevant documents, was the purpose. We treated data with the best of semantic technologies, like Oracle 11g and JENA, applying our own ontlogical meta-model which helps to leverage process oriented data for the sake of more efficient process handling. The ontological meta-model is held generic and may be processed with any organization.
Publication: Developing a Semantic Enterprise Repository
Creator: Patrick Moser, Brayan Zimmerli
Issue Date: Monday, August 17 2009
Project Affiliates: FHNW, WSL
Semantic Process Model (MOF Level 1): EnterpriseRepository.owl