Ontolog Forum
Ontology Summit 2012: (Track-4) "Large-scale domain applications" Community Input
Track Co-Champions: Dr. Steve Ray and Dr. Trish Whetzel
Mission Statement
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.
see also: OntologySummit2012_Applications_Synthesis
Enter your input below ... (please identify yourself and date your entry)
Entry by Steve Ray, 2/21/2012
- Observations / Lessons learned:
- UML to OWL is a common requirement for legacy systems
- Need better tools to help interpret legacy systems, transform into semantic systems.
- Starting from scratch is rare.
- Ontology patterns are very helpful, and encourage model reuse
- Look for the 80-20 rule of semantic development
- Semantic techniques work best when not compromised by implementation tradeoffs
- Semantic methods are faster to implement and easier to maintain
- Semantic approaches are particularly suited to systems with many complex constraints, rules, laws, with frequent changes
- UML to OWL is a common requirement for legacy systems
- Needs:
- Need better standards for common elements:
- Datatypes (Are xsd types enough? I think not)
- Ontology patterns (e.g. whole/part patterns)
- Collect ontological primitives from observation data
- Need repositories (When is OOR going to be ready for production use?)
- Repositories of ontological patterns could be more useful than repositories of ontologies
- Need industrial strength semantic services resident in the cloud
- Need better visualization tools and approaches
- Need better standards for common elements:
- ...