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		<title>imported&gt;KennethBaclawski: Fix PurpleMediaWiki references</title>
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		<summary type="html">&lt;p&gt;Fix PurpleMediaWiki references&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;= [[OntologySummit2012|Ontology Summit 2012]]: (Track-4) &amp;quot;Large-scale domain applications&amp;quot; Community Input  =&lt;br /&gt;
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Track Co-Champions: Dr. [[SteveRay|Steve Ray]] and Dr. [[TrishWhetzel|Trish Whetzel]] &lt;br /&gt;
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== Mission Statement  ==&lt;br /&gt;
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'''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. &amp;quot;Large-scale&amp;quot; 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. &amp;amp;nbsp;&amp;amp;nbsp;''' &lt;br /&gt;
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see also: [[OntologySummit2012_Applications_Synthesis]] &lt;br /&gt;
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'''Enter your input below''' ... ''(please identify yourself and date your entry)'' &lt;br /&gt;
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Entry by [[SteveRay|Steve Ray]], 2/21/2012 &lt;br /&gt;
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* Observations / Lessons learned: &lt;br /&gt;
** UML to OWL is a common requirement for legacy systems &lt;br /&gt;
*** Need better tools to help interpret legacy systems, transform into semantic systems. &lt;br /&gt;
*** Starting from scratch is rare. &lt;br /&gt;
** Ontology patterns are very helpful, and encourage model reuse &lt;br /&gt;
** Look for the 80-20 rule of semantic development &lt;br /&gt;
** Semantic techniques work best when not compromised by implementation tradeoffs &lt;br /&gt;
** Semantic methods are faster to implement and easier to maintain &lt;br /&gt;
** Semantic approaches are particularly suited to systems with many complex constraints, rules, laws, with frequent changes &lt;br /&gt;
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* Needs: &lt;br /&gt;
** Need better standards for common elements: &lt;br /&gt;
*** Datatypes (Are xsd types enough? I think not) &lt;br /&gt;
*** Ontology patterns (e.g. whole/part patterns) &lt;br /&gt;
*** Collect ontological primitives from observation data &lt;br /&gt;
** Need repositories (When is OOR going to be ready for production use?) &lt;br /&gt;
*** Repositories of ontological patterns could be more useful than repositories of ontologies &lt;br /&gt;
** Need industrial strength semantic services resident in the cloud &lt;br /&gt;
** Need better visualization tools and approaches &lt;br /&gt;
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* ... &lt;br /&gt;
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[[Category:WorkSpace]]    [[Category:OntologySummit]]    [[Category:OntologySummit2012]]&lt;br /&gt;
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&lt;/div&gt;</summary>
		<author><name>imported&gt;KennethBaclawski</name></author>
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