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Ontology Summit 2012: (Track-4) "Large-scale domain applications" Community Input     (1)

Track Co-Champions: Dr. Steve Ray and Dr. Trish Whetzel     (1A)

Mission Statement     (1B)

This track will help to ground the discussions in the other tracks and bring key challenges to light by describing current large-scale systems and systems of systems that either use, or could use, ontologies in their deployment. "Large-scale" can mean either very large data sets, very complex data sets, federated systems, highly distributed systems, or real-time, continuous data systems. Examples of large data sets might include scientific observations and studies; complex data sets could be technical data packages for manufactured products, or electronic health records; federated systems could include information sharing to combat terrorism, highly distributed systems includes items such as the smart electrical grid (aka Smart Grid), and real-time systems include network management systems. Of course, some big systems might include all five aspects.        (1B1)

Enter your input below ... (please identify yourself and date your entry)     (1B3)

Entry by Steve Ray, 2/21/2012     (1B4)

  • Observations / Lessons learned:     (1B5)
    • UML to OWL is a common requirement for legacy systems     (1B5A)
    • Ontology patterns are very helpful, and encourage model reuse     (1B5B)
    • Look for the 80-20 rule of semantic development     (1B5C)
    • Semantic techniques work best when not compromised by implementation tradeoffs     (1B5D)
    • Semantic methods are faster to implement and easier to maintain     (1B5E)
    • Semantic approaches are particularly suited to systems with many complex constraints, rules, laws, with frequent changes     (1B5F)

This page has been migrated from the OntologWiki - Click here for original page     (1B8)