Comments
There are two periods at (2S6D)
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making the case to a variety of stakeholders. (2S6F)
and several sentences below that also refer to stakeholders -
If the pitch is being given these are not stakeholders yet, they have not invested anything yet. However, they could benefit and become stakeholders in the future. Could the first sentence change to "....potential beneficiaries and future stakeholders".
There are a number of sentences below where "stakeholder" is not always necessary
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They provide a set of common problems that ontologies can be used to solve and value propositions.
in (2S6X)
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A fourth track was devoted to exploring longer term idea that may require further research, but which is feasible nevertheless. This was the Grand Challenges track (led by RamSriram, ErnieLucier and AldenDima). (2S70)
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Finally, there was an over-arching track for Strategy (championed by MatthewWest and PeterYim). How to put together all the materials gathered and present them in the most effective way to the appropriate stakeholder? I highlight Two of the results can be highlighted that emerged from this track. First, the realization that....
in (2S71)
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"Ontology does for machines what the World Wide Web did for people." SteveRay (2S73)
And a few other quotes below should all be italic and attributed
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In summary there were 5 tracks: Case Studies, Ontology Usage Framework, Value Metrics, Strategy and Grand Challenges.
Needs to match the order of the 5 tracks as listed above with Strategy last (or reorder above)
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In the rest of the communique, we will highlight some of the more important conclusions from the tracks and email discussions. This will also elaborate a bit more on the four main themes above. In doing so, some of the tracks will be touched on more than others. Please refer to the track links for further information. (2S7A)
Either strike "four main" and just say themes, or change to five tracks
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- Apply machine-learning, data-mining and other scale-based automatic techniques for the semantic document processing and advanced analytics in fields such as law, medicine, science, defense, and intelligence (2S7I)
Listing the fields may be limiting.
Or, can healthcare or something in the humanities be added for a broader spectrum?
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Fundamentally, ontology is about reaching agreements on what things mean in machine processable form.
in (2S7U)
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When no-one knows on what anything means and there are so many systems that are in production,
the key to enabling a company an organization of any size to do the same things more efficiently
in (2S7V)
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Finally, attached is from a separate thread about whether or not the fire fighters case study is using ontologies
DEBORAH MACPHERSON, CSI CCS, AIA
Specifications and Research
Cannon Design
1100 Wilson Boulevard, Suite 2900
Arlington, Virginia 22209
Direct Line 703 907 2353
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dmacpherson@xxxxxxxxxxxxxxxx
cannondesign.com
ü Please consider the environment before printing this email.
Everyone,
Please use this email thread for all feedback on the communique. Anything submitted elsewhere risks not being addressed. If you have already submitted feedback, I will greatly appreciate if you can take a moment and re-send it on this thread using the subject.
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Michael Uschold, PhD
Senior Ontology Consultant, Semantic Arts