Open Source > CIM OWL Ontology

CIM OWL Ontology


Managing an IT environment requires the exchange of structured data between different agents. The Common Information Model (CIM) by the Distributed Management Taskforce (DMTF) is a comprehensive open standard that specifies how managed elements in an IT environment are modelled as a set of common objects and relationships between them. It has however limited support for knowledge interoperability and aggregation, as well as reasoning. By converting the existing CIM model into a format that can be processed by semantic web tools, these limitations can be overcome.
For this reason, we developed a tool that converts the CIM schema into an Web Ontology Language (OWL) ontology. The ontology includes CIM schema 2.23 and the Storage Management Initiative Specification (SMI-S) 1.5.0 by the Storage Networking Industry Association (SNIA).


The ontology is available under dual licensing terms:
  • For educational use, the ontology may be used under the terms of the Apache License Version 2.0. . The ontology therefore is downloadable on an "as is" basis, without warranties or conditions of any kind. Please see the license text for further details.
  • For all other uses, including proprietary, closed source applications and other commercial applications, the ontology is available under alternative license terms; please contact us.
Release 1.0, July 2011

Related Publications

  • A. Textor; J. Stynes; R. Kroeger: "IT Management Using a Heavyweight CIM Ontology", Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Germany, Kiel, Germany, 17th GI/ITG Conference on Communication in Distributed Systems (KiVS'11), Pages 73--84, Vol. 17, OpenAccess Series in Informatics (OASIcs), Editors: N. Luttenberger; H. Peters, ISBN: 978-3-939897-27-9, March 2011 (Link) (BibTeX)
  • A. Textor; J. Stynes; R. Kroeger: "Transformation of the Common Information Model to OWL", Springer Verlag, Current Trends in Web Engineering - 10th International Conference on Web Engineering - ICWE 2010 Workshops, Pages 163--174, Vol. 6385, Lecture Notes in Computer Science, Editors: F. Daniel; F. Facca, ISBN: 978-3-642-16984-7, July 2010 (Link) (BibTeX)
  • Textor, Andreas: "Semi-Automatic Management of Knowledge Bases Using Formal Ontologies", M.Sc. Thesis, Cork Institute of Technology, Ireland


Please contact Andreas Textor or Reinhold Kroeger for comments and questions.