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Grand Challenges Track

Grand Challenges Track. Chairs: Ram D. Sriram, Ernie Lucier , Alden Dima. Goals For Grand Challenges Track. For a domain Summarize current state of the art on ontology use: academic and industry Determine gaps that hinder real-world ontology applications

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Grand Challenges Track

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  1. Grand Challenges Track Chairs: Ram D. Sriram, Ernie Lucier, Alden Dima

  2. Goals For Grand Challenges Track • For a domain • Summarize current state of the art on ontology use: academic and industry • Determine gaps that hinder real-world ontology applications • Enumerate the actions that need to be taken to overcome these gaps • Brainstorm ideas for a grand challenge problem

  3. Speakers • Christopher Welty (IBM) • Grand challenge for Watson-like Systems • Ramesh Jain (UC – Irvine) • Social Life Networks – Ontology-based Recognition • Eliot Siegel (UMD, School of Medicine) • The Dr. Watson Project: Clinical Perspective • Christopher Chute (Mayo Clinic) • Relationships among Biomedical Ontologies and Classifications • Nabil Adam (Department Homeland Security) • Ontology Applications in Homeland Security • Christopher Frangione (X Prize) • Revolution through Competition: Designing Effective Incentive Prizes

  4. Domains Identified • Health Care • Social networks • Homeland security

  5. Health Care • Watson-like system for medical education (Siegel, Welty) • Text retrieval (Harrison, Merck, etc..) • Automated chart reviews (Siegel) • Learning • Diagnosis and Treatment (Siegel) • Expert Systems • Challenge: Vocabularies and Terminologies (see slide 2, Chute) • ICD 11 and beyond – creation, validation, and verification of ontologies

  6. Social Networking • Internet of things emerging • Situational Analysis and Recommendation (slide 8, Jain) • Interpreting images and text (context-based, slide 9, Jain) • Challenge: Creating and testing R-ontologies (Recognition Ontologies)

  7. Homeland Security (Adams) • DHS Infrastructure • Modeling, Simulation, and Analysis • Challenge: Development, validation, acceptance, update, and integration of ontologies

  8. Finally: The X Prize (Frangione) • Attributes of X Prize (slide 13) • How do prizes deliver change (slide 14) • Developing a prize (slide 17) • Goal setting, Prize strategy, Design, Execute, Life Cycle • Various models of prize (slide 18) • X prize is incentive model • Designing a prize (slides 20-23) • The Ansari (X) Prize (slide 24) • Human space flight – A reality for all • Thoughts about X Prize • Domain, funding, management, etc..

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