Data modeling and harmonization with OWL: Opportunities and lessons learned

John L. McCarthy, Denise Warzel, Elisa Kendall, Bruce Bargmeyer, Harold Solbrig, Kevin Keck, Fred Gey

Research output: Contribution to journalConference articlepeer-review


Experience from recent projects helps illuminate the promises and limitations of OWL to specify, review, refine, harmonize and integrate diverse data and concept models. One of the attractive features of OWL is that it can be used by inference engines to help augment queries through inferred semantic relationships. But OWL, like SQL, is only a computer programming language. Using it to review and refine representations of data, metadata, and concept systems, including terminologies, thesauri, and ontologies, requires a well-defined abstraction layer - which itself can be specified in terms of OWL. In order to optimize, harmonize and integrate such information effectively for large scale projects, OWL definitions and relationships should be specified in terms of a standard metamodel, such as ISO/IEC 11179-3, Edition 3.

Original languageEnglish (US)
Pages (from-to)86-97
Number of pages12
JournalCEUR Workshop Proceedings
StatePublished - Dec 1 2009
Externally publishedYes
Event5th International Workshop on Semantic Web Enabled Software Engineering, SWESE 2009 - Collocated with the 8th International Semantic Web Conference, ISWC 2009 - Washington, DC, United States
Duration: Oct 25 2009Oct 25 2009


  • Data modeling
  • ISO 11179
  • Metadata
  • Metadata registration
  • OWL
  • UML

ASJC Scopus subject areas

  • General Computer Science


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