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Some “Thoughts” on Semantic Computing

Some “Thoughts” on Semantic Computing. C.V. Ramamoorthy Professor, Emeritus EE&CS, UC Berkeley. Topics. Semantic Computing (S.C.) Technology Transfer Transformation Processes Visions, Concepts, Ideas  Technology  Needs & Applications

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Some “Thoughts” on Semantic Computing

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  1. Some “Thoughts” on Semantic Computing C.V. Ramamoorthy Professor, Emeritus EE&CS, UC Berkeley

  2. 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

  3. 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”

  4. 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

  5. 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)

  6. 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

  7. Human Machine Semantics • Talking to household appliances remotely via cell phones • Request confirmation from machine – approved by owner • Security, safety, reliability • Trustworthiness

  8. 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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