OntologySummit2012 Applications CommunityInput

OntologySummit2012: (Track-4) "Large-scale domain applications" Community Input    (32CO)

Track Co-Champions: Dr. SteveRay and Dr. TrishWhetzel    (338X)

Mission Statement:    (32CP)

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. T    (32E0)

see also: OntologySummit2012_Applications_Synthesis    (32EE)

Enter your input below ... (please identify yourself and date your entry)    (32CQ)

Entry by SteveRay, 2/21/2012    (35D3)

• Observations / Lessons learned:    (35D4)
  • UML to OWL is a common requirement for legacy systems    (35D5)
    • Need better tools to help interpret legacy systems, transform into semantic systems.    (35D6)
    • Starting from scratch is rare.    (35D7)
  • Ontology patterns are very helpful, and encourage model reuse    (35D8)
  • Look for the 80-20 rule of semantic development    (35D9)
  • Semantic techniques work best when not compromised by implementation tradeoffs    (35DA)
  • Semantic methods are faster to implement and easier to maintain    (35DB)
  • Semantic approaches are particularly suited to systems with many complex constraints, rules, laws, with frequent changes    (35DD)

• Needs:    (35DE)
  • Need better standards for common elements:    (35DF)
    • Datatypes (Are xsd types enough? I think not)    (35DG)
    • Ontology patterns (e.g. whole/part patterns)    (35DH)
    • Collect ontological primitives from observation data    (35DI)
  • Need repositories (When is OOR going to be ready for production use?)    (35DJ)
    • Repositories of ontological patterns could be more useful than repositories of ontologies    (35DK)
  • Need industrial strength semantic services resident in the cloud    (35DL)
  • Need better visualization tools and approaches    (35DM)

• ...    (32CR)