Physical Cyber Social Computing
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Physical Cyber Social Computing

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Presented at SW2012 @ ISWC2012. ...

Presented at SW2012 @ ISWC2012.
http://amitsheth.blogspot.com/2012/08/semantics-empowered-physical-cyber.html

This is an old version of this talk, for more recent information on this topic (eg talks, papers, events), see: http://wiki.knoesis.org/index.php/PCS

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  • THROUGH real-time monitoring (sensor + social + experiences ) and analysis (perception) could our cell phones detect serious health conditions

Physical Cyber Social Computing Presentation Transcript

  • 1. Physical-Cyber-Social Computing Presented at SW2022 @ ISWC2012 AmitSheth LexisNexis Ohio Eminent Scholar,Director, Kno.e.sis – Ohio Center of Excellence in Knowledge-enabled Computing Wright State University, Dayton, OH, USA Ack: PramodAnanthram, Cory Henson, and Kno.e.sisSemantic Sensor Web team 1
  • 2. 1999 - 2002 2
  • 3. Building knowledge base by entity extraction, use of this knowledge Semantics & Semantic Webfor search, annotation, and personalization. in 1999-2002 Semantic Web: Early Realizations to Wide Semantic search and knowledge browsing Adoption Semantic categorization, association, and inference Creating a “Web of related Information” Semantic enrichment using domain knowledgehttp://knoesis.wright.edu/library/download/HSK02-SEE.pdfhttp://knoesis.wright.edu/library/download/SBA+02-IC.pdf 3http://www.google.com/insidesearch/features/search/knowledge.html
  • 4. Now…12 years later 4
  • 5. Google’s knowledge graph allows exploration of interconnected things 5
  • 6. Semantic Web: 10 Years from Now 6
  • 7. Physical-Cyber-Social Computing Presented at SW2022 @ ISWC2012 AmitSheth LexisNexis Ohio Eminent Scholar,Director, Kno.e.sis – Ohio Center of Excellence in Knowledge-enabled Computing Wright State University, Dayton, OH, USA Ack: PramodAnanthram, Cory Henson, and Kno.e.sisSemantic Sensor Web team 7
  • 8. Cyber-Physical SystemsThe computational and communication components closely interawith physical components. Enables better cyber-mediated observof and interaction with physical components. CPS involves sensing, computing, and actuating components 8 http://www.nsf.gov/pubs/2013/nsf13502/nsf13502.htm
  • 9. Physical-Cyber Systems Physical Systems Cyber Systems Health applications and tools that monitor a person physically and connect them to care providers (e.g. doctors) Offers sensor solutions for monitoring cardiovascular ailments Remote heath monitoring Mobile cardiac outpatient telemetry and real time analytics Provides solutions to monitor cardio activity Non-invasive wearable monitoring of vital signalsApplications integrating telemedicine service Cardiovascular patient monitoringRemote real-time patient monitoring of vitals Continuous monitoring of physiological parameters 9 http://quantifiedself.com/2010/01/non-invasive-health-monitoring/
  • 10. Cyber-Social Systems Cyber Systems Social Systems Observations spanning Cyber and Social world – people share their activities, knowledge, experiences, opinions, and perceptions. Sharing experiences and management of conditions and their treatmentsManaging risks and making informed decisions based on gene sequencing 10
  • 11. Physical-Cyber-Social Systems Physical Systems Cyber Systems Social Systems Social aspect of sharing and friendl Involves interactions between all the three competition components. This data is stove piped due to fragmentation in sensor data collection services. Integration and interaction between physical, cyber, and social components for computation is brittle. Needs significant human involvement in interpretation of Sensors collecting observations physiological observations using their knowledge of the form the physical world domain and social experiences.Self knowledge through numbers Data collected from physiological sensors analyzed in the social context of “similar” people. QS conference where experiences of analyzing and visualizing data from physiological sensors are presented. 11 http://www.fitbit.com/product/features#social
  • 12. What if?Computations leverages observations formsensors, knowledge and experiences frompeople to understand, correlate, and personalizesolutions.Physical- Social-CyberCyber Physical-Cyber-Social 12
  • 13. Search vs. SolutionConventional search returns a set of documents for servingthe information need expressed as a search query. Answer engine like WolframAlpha provides answers for a query. Chances of finding heartburn cases in a year along with their age group Chances of finding heartburn cases based on ethnicity. Analyzing this data with sensor observations collected for Mark, who is a white, 65 years of age, 190 pounds, 5’ 10’’ has relative low chances of having a heartburn Distribution of heartburn cases based 13 on age, weight, height and BMI
  • 14. Physical-Cyber-Social Computing Physical Systems Cyber Systems Semantics play a crucial role in bridging the semantic gap between different sensor types, modalities, and observations to derive insights leading to a holistic solution. Social Systems 14
  • 15. Physical-Cyber-Social Computing Physical, Cyber We experience the world through and Social perceptions and actions Observes InfluencesExperiences Determines Influences Perceptual Inference Influences EvolvesExperiences evolve ourbackground knowledge Experience Background Knowledge (spanning Physical-Cyber- Background knowledge + new 15 Social) http://www.yourdictionary.com/brain observations will enhance our
  • 16. Physical-Cyber-Social Computing 2 Diastolic blood pressure (BP) between 86 and 90 Observes InfluencesExperiences Determines 16 Experiences in managing blood Asian pressure male 4 Shared physiological Corrective actions to be 5 Influences Perceptual How are my peers of the observations from sensors 7 taken Increase the use of herbs Inference same socio-economic- and spices instead of salt cultural background doing Influences w.r.t. BP? 3 Asian male has lower thresholds Evolves for hypertension Experience Background Knowledge (spanning Physical-Cyber- Social) 16 http://www.yourdictionary.com/brain
  • 17. Cyber-Physical Social Systems LandscapeCyber There are silos of knowledge on the cyber Rich world which are under utilized.Cyber world connectsthe physical world EMR and knowledge ofwhich consists of PHR the medicalother machines or domain Physiologicalhumans sensor data from human populationCurrent CPS is focused on , Sensing, processing, Socialand actuating components along with Health relatedcommunication, power consumption, security. Humans take experiences decisions based shared by on insights provided by other humans humans and machines in the physical worldPhysical Sensors around, on, and in humans will bridge the physical and cyber world. Social networks bridge the social interactions in the physical and cyber world.Physical systems beinginstrumented withsensors, we havedeeper view ofphysical world 17
  • 18. Cyber Physical Systems: Now Cyber There are silos of knowledge on the cyber Rich world which are under utilized. EMR and knowledge of PHR the medical domain Physiological sensor data from human population Current CPS is focused on , Sensing, processing, Social and actuating components along with Health related communication, power consumption, and security. experiences shared by humans Sensing Mark’s discomfort sensed by: galvanic skin response, heart rate, fit bit, and Microsoft kinect Computing Physical His phone computes the possible cause being increased intake of fried food. Social networks bridge the social interactions Sensors around, on, and in humans will bridge the physical in the physical and cyber world. and cyber world. ActuatingPhysical Mark advised to go low on fried food.Mark is experiencing heartburn. Should Mark be convinced by this? What if fatty food intake was just a coincidence with something serious? 18
  • 19. Physical Cyber Social Computing: A Vision Cyber There are silos of knowledge on the cyber Rich world which are under utilized. EMR and knowledge of PHR the medical domain Physiological sensor data from human population We believe that current CPS should view the physical world Social by incorporate solutions form (knowledge) cyber world Health related with a lens of social context. experiences shared by humans Sensing Mark’s discomfort sensed by: galvanic skin response, heart rate, fit bit, and Microsoft kinect Computing Physical Physical Cyber Social Computing involves: (1) Comparing physiological observationsSocial networks bridgeto him (age, weight, lifestyle, from people similar the social interactions Sensors around, on, and (2)humans will health the physical of similar people reporting heartburn in the physical and history of ailments of Mark ethnicity, etc.) in Analyzing bridge experiences (3) Incorporating cyber world. and cyber world. (4) Leveraging medical domain knowledge of diseases and symptoms. •He is advised to visit a doctor since he had a heart condition (from EMR) in the past and heartburns in similar people (social) was a symptom of arterial blockagePhysicalMark is experiencing heartburn. Actuating Alert to contact his doctor. 19
  • 20. Toward the Vision: Semantic Perception in Khealth A Khealth application: leveraging low cost sensors toward reducing hospital readmissions for ADHF patients Khealth will continue toward the vision of Physical-Cyber- Social Computing to understand, correlate, and personalize solutions Paper at ISWC: C. Henson, K. Thirunarayan, A. Sheth, An Efficient Bit Vector Approach to 20 Semantics-based Machine Perception in Resource-Constrained Deviceshttp://knoesis.org/healthApp/
  • 21. Semantic Perception as an example component of PCS Computing Convert large number of observations to semantic abstractions that provide insights and translate into decisions 1Translating low-level signals Explanationinto high-level knowledge Observe Perceive Property Feature Prior Knowledge 2 Focusing attention on those aspects of the environment that Discrimination provide useful information
  • 22. CPS Current State of Art: Limitations• CPS are stovepipe systems with narrow set of observations of the real world.• Current CPS do not possess the knowledge support for decision making with Mark’s case.• Social aspects plays an important role in decision making of CPS.• The vision of Cyber Physical Social Computing is to provide solutions for these limitations. 22
  • 23. Conclusions• Transition form search to solution engines for actionable information.• Seamless integration of technology involving minimal human involvement.• Transition form reactive systems (humans initiating information need) to proactive systems (machines initiating information need).• Sharing of knowledge, experiences, and observations across physical-cyber-social worlds lead to informed decision making.• Physical Cyber Social Computing plays an important role in this vision. Semantic computing will provide integration and reasoning capabilities needed for PCS computing. 26
  • 24. A bit more on this topicInfluential visions by Bush, Licklider, Eaglebert, and Weiser.Amit Sheth,”Computing for Human Experience: Semantics-Empowered Sensors,Services, and Social Computing on the Ubiquitous Web," IEEE Internet Computing, vol.14, no. 1, pp. 88-91, Jan.-Feb. 2010, doi:10.1109/MIC.2010.4A. Sheth, Semantics empowered Cyber-Physical-Social Systems, Semantic Web in2012 workshop at ISWC 2102.Cory Henson, AmitSheth, KrishnaprasadThirunarayan, Semantic Perception:Converting Sensory Observations to Abstractions, IEEE Internet Computing, vol. 16,no. 2, pp. 26-34, Mar./Apr. 2012, doi:10.1109/MIC.2012.20Cory Henson, KrishnaprasadThirunarayan, AmitSheth. An Ontological Approach toFocusing Attention and Enhancing Machine Perception on the Web. Applied Ontology,vol. 6(4), pp.345-376, 2011.Cory Henson, KrishnaprasadThirunarayan, and AmitSheth, An Efficient Bit VectorApproach to Semantics-based Machine Perception in Resource-Constrained Devices,In: Proceedings of 11th International Semantic Web Conference (ISWC 2012), Boston,Massachusetts, USA, November 11-25, 2012. 27