Understanding and communicating Enterprise Architecture and its role in forwarding Analytics and Business Intelligence is hard enough without having the right tools to help with model development. If you haven’t been exposed to ontology development I encourage you to grab the open source Protege Ontology Editor. And while you are there see the Protégé Wiki and grab the Federal Enterprise Architecture Reference Model Ontology (FEA-RMO) for an example of its use in the EA world. A few years ago Marina Arseniev and Carmen Roode at UC Irvine used this tool to model their EA environment using the Zachman Framework to publish its contents. A little dated now, it represents an early example of how powerful this tool can be in the right hands. A more up to date set of tools can be found at the Essential project. The project uses this tool to enter model content, based on a model pre-built for Protégé. A subject for another post the Essential Project provides a useful, active forum for sharing ideas and experiences of applying practice to real world business problems – as well as working together to shape the development of relevant tools.
Tired of frameworks (and who isn’t <g>)?
While you are at the Protégé Wiki grab some of the OMG specifications developed for use with this tool for other examples.
- OMG – Meta Object Facility: Ontology representation of the OMG-MOF
- OMG – MOF – Query, View, and Transformations: Ontology representation of the OMG-MOF-QVT
- OMG – Ontology Definition Metamodel (ODM): Ontology representation of the OMG-ODM
- OMG – Unified Modeling Language (UML2): Ontology representation of the OMG-UML2
or how about a something more interesting (Semantic Web for Earth and Environmental Terminology (SWEET)
- SWEET Ontologies: A Semantic Web for Earth and Environmental Terminology. Source: Jet Propulsion Laboratory.
I have watched this team evolve and mature this product over the last couple of years into a truly useful tool. Thanks to the hard working people over at the Stanford Center for Biomedical Informatics Research at the Stanford University School of Medicine we now have another powerful tool to make our lives and little easier and more rewarding.