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Greetings, Here are some issues: (I'll introduce myself in a follow-up message) Assuming our objective is not hype, we need a better handle on the actual maturity of this technology before we issue any statement. To do this, we must: a. Define the target capabilities (e.g. improved search, cross-domain queries, decision support, etc.). The technology might be mature for some things but a pipe-dream for other capabilities. b. Adopt a Technology Readiness Level (TRL) scale. This will help us rate the level of maturity, and also define the next level that needs to be achieved. A 9-Level Software Readiness Level scale is attached, which could be modified or used as-is for now. c. Be able to 'show' examples of the maturity, which are open to scrutiny. I believe a structured and closer look at the technology maturity will better define the next candidate steps. Now, let me introduce myself. I started and Chaired the IEEE Learning Technology Standards Committee about 10 years ago, which revealed the need for interoperable metadata and learning content. I then started the IEEE Standard Upper Ontology Working Group, which developed (or attempted to advance) a variety of documents including SUMO, Open Cyc, IFF, Lattice of Theories, 4D Ontology, and MSO, but none had enough votes to pass as a standard. I funded the contract with Teknowledge under which Adam Pease developed the original SUMO. I work for the U.S. Army, but no longer in this field. My goal in attending this summit is to see if I can regain hope in the potential benefits for my employer, and if so, to work on a strategy for starting up an R&D program. James R. Schoening
<<TRL-Software.doc>>
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