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Published byNatalie Miller Modified over 9 years ago
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Some “Thoughts” on Semantic Computing C.V. Ramamoorthy Professor, Emeritus EE&CS, UC Berkeley
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Topics Semantic Computing (S.C.) Technology Transfer Transformation Processes Visions, Concepts, Ideas Technology Needs & Applications Applications selected to satisfy infra-structural (essential) human needs Constrained by environmental and ecological concerns Transformations Value vs. Entropy Usefulness (simplicity) vs. Complexity Selection of Research Challenges Semantic Search Engine Current search engines lack interaction, no question/answer capability Semantic interactive search engines for health care (Patients-Doctors) Man-Machine Semantics (Sensor based Semantic Network) Talking and controlling of household appliances remotely Trustworthiness issues Vision the discipline of semantic computing Establishing, creating, and meeting its human needs challenges
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Elegy Written in a Country Church Yard Thomas Gray (1716 – 1717) “Full many a gem of purest ray serene The dark unfathom’d caves of ocean bears Full many a flower is born to blush unseen And waste its sweetness on the desert air”
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Semantic Computing – Technology Transfer Example: Cotton Ginning Carding Spinning Weaving Dyeing Finishing Tailoring Series of Transformations result Need computer language translation Trade off between value and entropy Simplicity vs. Complexity Message Meanings of thoughts (semantics) to meanings conveyed by natural / artificial languages Challenge Need “trustworthy” translation – no meaning must be lost in translation Need Semantic translations (e.g. compilers) Tools of transformation that preserve semantic integrity
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Selection of Research Challenges 87% World’s Population rural, agricultural (the economist) Select Infrastructural applications Food Production Energy Production & Conservation Home usage / living Weather aspects Other environmental aspects I.T. Telecomm (cell phones) Easy to communicate between farmers, agriculture specialists, doctors, transportation These are some infrastructural applications Real time, personalized, computer aided assistance “Real time” translation support Example: India Farm to Fork Project (Government, Reliance, Nandam Nilkani, M. Ambarni)
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Semantic Search Engines Our current search engines are not interactive No Question & Answer capabilities Search engines for doctors & health care Patients Requests for medical help & advice from doctors Need interactive capabilities
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Human Machine Semantics Talking to household appliances remotely via cell phones Request confirmation from machine – approved by owner Security, safety, reliability Trustworthiness
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Vision of Semantic Computing Need a national / international project Vision Kennedy moonlanding Manhattan Atomic Energy 2001 Space Odyssey – Arthur Clarke Jetson’s TV Cartoons War of the Worlds – H.G. Wells Jules Verne novels Idea Vision creates expectations Expectations create challenges Research rises to meet challenges We must stretch semantic computing to meet our human needs
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