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Semantics empowered Physical-Cyber-Social Systems for EarthCube
 

Semantics empowered Physical-Cyber-Social Systems for EarthCube

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Presentation at the EarthCube Face Face-to-Face Workshop of Semantics & Ontologies Workgroup: April 30-May 1, 2012, Ballston, VA. ...

Presentation at the EarthCube Face Face-to-Face Workshop of Semantics & Ontologies Workgroup: April 30-May 1, 2012, Ballston, VA.

Workshop site: http://earthcube.ning.com/group/semantics-and-ontologies/page/workshops

For more recent material on this topic, see: http://wiki.knoesis.org/index.php/PCS

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  • 20,000 weather stations (with ~5 sensors per station)Real-Time Feature Streams - live demo: http://knoesis1.wright.edu/EventStreams/ - video demo: https://skydrive.live.com/?cid=77950e284187e848&sc=photos&id=77950E284187E848%21276
  • Automated detection of different types of fires, which each require different extinguishing methodsYouTubeSECURE Demo: http://www.youtube.com/watch?v=gHn9aCt9zQU&list=UUORqXk1ZV44MOwpCorAROyQ&index=8&feature=plpp_video
  • Knoesis center recently declared a center of excellence by Ohio governor
  • Knoesis center recently declared a center of excellence by Ohio governor
  • Knoesis center recently declared a center of excellence by Ohio governor
  • Knoesis center recently declared a center of excellence by Ohio governor
  • Knoesis center recently declared a center of excellence by Ohio governor

Semantics empowered Physical-Cyber-Social Systems for EarthCube Semantics empowered Physical-Cyber-Social Systems for EarthCube Presentation Transcript

  • Semantics empowered Physical-Cyber-Social Systems for EarthCubePresentation at theEarthCubeFace Face-to-Face Workshop of Semantics & Ontologies Workgroup: April 30-May 1, 2012, Ballston, VA. Amit Sheth Kno.e.sis – Ohio Center of Excellence in Knowledge-enabled Computing Wright State University, Dayton, OH, USA http://knoesis.org Special thanks & contributions: Cory Henson, PramodAnantharam 1
  • Web (and associated computing) is evolving Computing for Human ExperienceEnhanced Experience,Tech assimilated in life Web as an oracle / assistant / partner - “ask the Web”: using semantics to leverageSituations, 2007 text + data + servicesEvents - Powerset, Siri, Watson Web 3.0Objects Web ofpeople, Sensor Web - social networks, user-createdcasualcontent - 40 billionsensorsPatterns Web 2.0 Web of resources - data, service, data, mashupsKeywords - 4 billionmobilecomputing Web of databases1997 - dynamically generated pages - web query interfaces Web of pages - text, manually created links Web 1.0 - extensive navigation
  • Sensors everywhere ..sensing, computing,transmitting• 2009: 1.1 billion PCs, 4 billion mobile devices, 40+ billion mobile sensors (Nokia: Sensing the World with Mobile Devices)• 6 billion intelligent sensors – informed observers, rich local knowledge Christmas Bird Count 3
  • Data & Knowledge Ecosystem Situational Awareness Decision Support Insight Knowledge Discovery Analysis (eg Patterns) Understanding & Perception Data MiningSSW/W3C-SSN Search Browsing IntegrationOGC SWE Multimedia Data Structured, Textual Data: Scientific Literature, Web Pages, News, Blogs, Semistructured Reports, Wiki, Forums, Comments, Tweets Unstructured Observational Data Experimental Data Data Transactional Data 4
  • Semantics as core enabler, enhancer @ Kno.e.sis 15 faculty ~50 PhD students Excellent Industry collaborations (MSFT, GOOG, IBM, Yahoo!, HP) Well funded Exceptional Graduates Multidisciplinary: Health/Clinical Biomedical Sc Social Sc … 5
  • SemanticModels Search Integration Analysis Discovery Relationship Web Question Answering Patterns / Inference / Reasoning Situational Meta data / Awareness Semantic Annotations Metadata Extraction RDB Text Structured and Semi- Multimedia Content Sensor Data structured Data and Web Data
  • From simple ontologiesKnowledge Enabled Information and Services Science
  • Drug Ontology Hierarchy(showing is-a relationships) formulary_ non_drug_ interaction_ property formulary reactant property indication indication_ property owl:thing monograph property _ix_class prescription interaction_ _drug_ with_non_ brandname_ prescription brand_name drug_reactant prescription individual _drug interaction _drug_ property brandname_ brandname_ composite prescription interaction_ undeclared _drug_ with_mono interaction_ generic graph_ix_cl with_prescri cpnum_ generic_ ass ption_drug group composite generic_ individual Knowledge Enabled Information and Services Science
  • to complex ontologiesKnowledge Enabled Information and Services Science
  • N-Glycosylation metabolic pathway GNT-I attaches GlcNAc at position 2 N-glycan_beta_GlcNAc_9 N-acetyl-glucosaminyl_transferase_V N-glycan_alpha_man_4 GNT-V attaches GlcNAc at position 6 UDP-N-acetyl-D-glucosamine + alpha-D-Mannosyl-1,3-(R1)-beta-D-mannosyl-R2 <=> UDP + N-Acetyl-$beta-D-glucosaminyl-1,2-alpha-D-mannosyl-1,3-(R1)-beta-D-mannosyl-$R2 UDP-N-acetyl-D-glucosamine + G00020 <=> UDP + G00021 Knowledge Enabled Information and Services Science
  • A little bit about semantic metadata extractions and annotations Knowledge Enabled Information and Services Science
  • Extractionfor Metadata Creation Nexis Digital Videos UPI AP ... ... Feeds/ Data Stores Documents WWW, Enterprise Digital Maps Repositories ... Digital Images Digital Audios Create/extract as much (semantics) metadata automatically as possible; Use ontlogies to improve and enhance EXTRACTORS extraction METADATA Knowledge Enabled Information and Services Science
  • Automatic Semantic MetadataExtraction/Annotation of Textual Data Knowledge Enabled Information and Services Science
  • Semantic Sensor Web Infrastructure
  • Semantically Annotated O&M<om:Observation><om:samplingTime><gml:TimeInstant>...</gml:TimeInstant></om:samplingTime><om:procedurexlink:role="http//www.w3.org/2009/Incubator/ssn/ontologies/SensorOntolgy.owl#Sensor“xlink:href="http//www.w3.org/2009/Incubator/ssn/ontologies/SensorOntolgy.owl#sensor_xyz"/><om:observedPropertyxlink:href="http//www.w3.org/2009/Incubator/ssn/ontologies/SensorOntolgy.owl#temperature"/><featureOfInterestxlink:href="http://sws.geonames.org/5758442/"/><om:resultuom="http//www.w3.org/2009/Incubator/ssn/ontologies/SensorOntolgy.owl#fahrenheit">42.0</om:result></om:Observation> 15
  • Semantic Sensor ML – Adding Ontological Metadata Domain Person Ontology Company Spatial Ontology Coordinates Coordinate System Temporal Ontology Time Units Timezone Mike Botts, "SensorML and Sensor Web Enablement," 16 Earth System Science Center, UAB Huntsville
  • Workflow Architecture for Managing Streaming Sensor Data
  • Weather ApplicationWeather Application Detection of events, such as blizzards, from weather station observations on LinkedSensorData 18 Demos: Real-Time Feature Streams
  • SECURE: Semantics Empowered Rescue Application Weather EnvironmentRescue robots detect different types of fires, which may require differentmethods/tools to extinguish, and relays this knowledge to first responders. Demo: SECURE: Semantics Empowered Rescue Environment 19
  • A Challenging Example QueryWhat schools in Ohio should now be closed due to inclementweather?Need domain ontologies and rules to describe type of inclementweather and severity.Integrationof technologies needed to answer query 1. Spatial Aggregation 2. Semantic Sensor Web 3. Machine Perception 4. Linked Sensor Data 5. Analysis of Streaming Real-Time Data More details in: Spatial Semantics for Better Interoperability and Analysis: Challenges and Experiences in Building Semantically Rich Applications in Web 3.020
  • Technology 1 Spatial Aggregation • What schools are in Ohio? • What weather sensors are near each of the school?21
  • Technology 2 Semantic Sensor Web (SSW) • What is inclement weather? • What sensors in Ohio are capable of detecting inclement weather? • What sensors are near schools in Ohio? • What observations are these sensors generating NOW?22
  • Technology 3 Active Machine Perception • Are these observations providing evidence for inclement weather?23
  • Technology 4 Linked Sensor Data • What schools are in Ohio? • What inclement weather necessitates school closings? • What sensors in Ohio are capable of detecting inclement weather? • What sensors are near schools in Ohio? • What observations are these sensors generating NOW?24
  • Technology 5 Analysis of Streaming Real-Time Data • What observations are these sensors generating NOW?25
  • Demos• Real-Time Feature Streams• SECURE(presentation:• SECURE: Semantics Empowered resCUe EnviRonmEnt )Amit• Trusted Perception Cycle• Sensor Discovery on Linked Data• Semantic Sensor Observation Service (SemSOS)Related Talk• Spatial Semantics for Better Interoperability and Analysis: Challenges and Experiences in Building Semantically Rich Applications in Web 3.0: Amit Sheth delivers talk at the 3rd Annual Spatial Ontology Community of Practice Workshop: Development, Implementation and Use of Geo-Spatial Ontologies and Semantics, 3 October 2010, USGS, Reston, VA.