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Technology Infusion Working Group

Co-Chairs: Karen Moe, NASA/ESTO Rob Raskin, NASA/JPL Earth Science Data Systems Working Group Meeting Philadelphia, PA October 23-25, 2007. Technology Infusion Working Group. Agenda. Mission & Scope Activities & Accomplishments Process & Strategies Web Services Semantic Web

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Technology Infusion Working Group

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  1. Co-Chairs: Karen Moe, NASA/ESTO Rob Raskin, NASA/JPL Earth Science Data Systems Working Group Meeting Philadelphia, PA October 23-25, 2007 Technology Infusion Working Group

  2. Agenda Mission & Scope Activities & Accomplishments Process & Strategies Web Services Semantic Web Sensor Web Breakout Session Agenda Technology Showcase Web Services and Semantic Web Demonstrations

  3. Tech Infusion Working Group Mission Enable NASA’s Earth Science community to reach its research, application, and education goals more quickly and cost effectively through widespread adoption of key emerging information technologies Scope Information technologies that... Provide capabilities critical to the ESD mission & vision Have been substantially developed (TRL6-9) but have not been widely deployed Cannot be obtained simply through reuse of mature subsystems or software May be slow to adopt because of the unique characteristics of Earth science (e.g., high data volumes)‏ Approach Improve community understanding of the technology infusion process Identify barriers and solutions to technology adoption Use case studies to evaluate effectiveness of infusion processes Identify and evaluate new and emerging technologies Develop roadmaps for adoption of key technologies

  4. TIWG 2007 Activities Maintained 4 active subgroups Infusion Process and Strategies Subgroup lead: Steve Olding Web Services Subgroup lead: Ken Keiser (UAH)‏ Semantic Web Subgroup lead: Peter Fox (NCAR)‏ Sensor Web Subgroup lead: Karen Moe (ESTO)‏ Conducted weekly telecons 1st Thursday: Full working group 2nd Thursday: Process and Strategies 3rd Thursday: Web Services 4thTuesday Sensor Web 4th Thursday: Semantic Web Presented poster and held TIWG breakout session at summer ESIP Federation meeting

  5. Continue to review and maintain the Capability Vision Use the Capability Vision to identify technologies to study Align technology roadmaps to the Vision Capability Vision

  6. Subgroup Lead: Steve Olding, GSFC Technology InfusionProcess and Strategies Sub-Group

  7. Process and Strategies Subgroup • Reviewed techniques for tracking new and emerging technologies • Prediction markets • Hype cycles • Social tagging • Created hype cycle for Google Earth • Created hype cycle for Earth science technologies • Social tagging with del.icio.us

  8. Gartner Technology Hype Cycle Phases in the adoption of a new technology • "Technology Trigger" • The first phase of a Hype Cycle is the "technology trigger" or breakthrough, product launch or other event that generates significant press and interest. • "Peak of Inflated Expectations" • In the next phase, a frenzy of publicity typically generates over-enthusiasm and unrealistic expectations. There may be some successful applications of a technology, but there are typically more failures. • "Trough of Disillusionment" • Technologies enter the "trough of disillusionment" because they fail to meet expectations and quickly become unfashionable. Consequently, the press usually abandons the topic and the technology. • Less visibility. More users. • "Slope of Enlightenment" • Although the press may have stopped covering the technology, some businesses continue through the "slope of enlightenment" and experiment to understand the benefits and practical application of the technology. • "Plateau of Productivity" • A technology reaches the "plateau of productivity" as the benefits of it become widely demonstrated and accepted. The technology becomes increasingly stable and evolves in second and third generations. The final height of the plateau varies according to whether the technology is broadly applicable or benefits only a niche market

  9. 2007 Hype Cycle for Emerging Earth Science Technologies v0.3 Visibility Advanced Web Services (SOAP)‏ OpenGIS WCS Digital Earth Estimate years to mainstream adoption in Earth science Sensor Web Simple Web Services (REST)‏ ECHO service catalog SWEET < 2 years 2-5 years Google Earth OpenGIS WMS Semantic Web 5-10 years > 10 years Obsolete before plateau GeoSciML Time Slope of Enlightenment Plateau of Productivity Technology trigger Peak of Inflated Expectations Trough of Disillusionment

  10. Social Bookmarking with del.icio.us

  11. Users can create their own tags…

  12. Search using TIWG tags Use the ‘tiwg’ AND ‘radar’ tags for new and emerging Earth science technologies

  13. Total number of times that this link has been tagged (all users, not just tiwg) Use the search to see what others have been tagging…

  14. Go to http://del.icio.us/ Register a new account Install the browser buttons Use the ‘tiwg’ AND ‘radar’ tags to identify new and emerging technologies of interest to the Earth science community Start Tagging

  15. Technology InfusionWeb Services Sub-Group Subgroup Lead: Ken Keiser Information Technology and Systems Center University of Alabama in Huntsville

  16. Web Services Subgroup • Developed white paper on SOA security • Reviewed the ECHO services registration process from an end user perspective • Updated the Web Services Roadmap

  17. Service Oriented Architecture Security Security White Paper I. Introduction II. General Application Security Issues Authentication Authorization Data Integrity Non-repudiation and Auditing Data Confidentiality and Privacy III. SOA Application Security IV. Network Security And SOA General Network Security Concerns Security Attacks around SOA Security Defense V. Security Compliance Source: http://enterprisearchitecture.nih.gov/ Principal authors: Steve Olding, GSFC Jerry Pan, Oak Ridge National Laboratory

  18. Presentations from ECHO (Andy Mitchell and Michael Burnett)‏ GCMD (Lola Olsen)‏ Earth Science Gateway (Nadine Alameh)‏ Evaluate Service Registry Approaches

  19. Pragmatic review of the web services registration process from the end user perspective Document the registration process Provide guidance to prospective users of ECHO Provide feedback to ECHO operations Review of NASA ECHO Web Service Registration Process White Paper Principal authors: Yuqi Bai and Liping Di, George Mason University Ken Keiser, University of Alabama in Huntsville

  20. Based on this exercise, our understanding is: ECHO 8 supports Web Service Providers to register the Web Service Interface and the Web Service Implementation objects. Web Service Providers need to have two types of accounts in ECHO: one Service Provider account and at least one user account. The user account(s) must be associated with the Service Provider account. Two distinct WSDL files are needed: the Web Service Interface WSDL and the Web Service Implementation WSDL. They should be accessible on the web. Web Service Interfaces will be activated by ECHO Ops. A new hosting URL will be provided by the ECHO system. We need then to update Web Service Implementation WSDL file accordingly to reference this new Web Service Interface URL. The Web Service Interfaces and the Web Service Implementations will not be publicly discoverable and accessible until they are activated by ECHO Ops. Suggestions for Web Service Providers: First register the Web Service Interface then the Web Service Implementation. Run discovery function to guarantee that the registered Web Service Object is available before taking the next step. Use ECHO Extended Services Tool to fulfill Web Service Object registration. Send emails directly to ECHO Ops at echo@killians.gsfc.nasa.govforany problems you may encounter when registering Web Service Objects. Suggestions for ECHO Operations Group: The ECHO Extended Services Tool only provides Register/update/delete functionalities for Web Service Providers. It would be better to support discovery functions. Remove unnecessary functions from the ECHO Extended Services tool, or make them invisible to Web Service Providers. Our experiment is time-consuming. We encountered some exceptions or problems in almost every step. A user guide for Web Service Providers is highly needed. It not only shows one step after another how they can fulfill all the tasks, but includes some QoA sections for quick problem resolving. A guide for Web Service Users is also needed. ECHO Ops personnel are very helpful. It would be better if they could be more responsive. Currently, users are supposed to report any issue to an open email list. But some times, "everybody is responsible" can come to mean "nobody is responsible". The web site needs to correctly describe the “Extended Services Tool” as application based. The Extended Services Tool provided on a specific ECHO version’s web site needs to be modified to be in synch with that version in terms of defaults and capabilities. ECHO Web Service Registration Lessons Learned & Recommendations

  21. Current Near Term Mid Term Long Term Web Services Roadmap 2005 Results  Improved Information Sharing  Accelerated Research & System Cost Savings  Increased Collaboration & Interdisciplinary Science  Increased PI Participation in Information Production  Increased Data Utilization Outcome  Geospatial services established  Open geospatial services proliferate  Production quality geospatial services  Intelligent Services Output Capability  Parameter-based product searches and access  Full geospatial logical searches and access  Semantic geospatial search & access  Automatic service mediation Assisted Discovery & Mediation  Local processing + data exchange  Basic data tailoring services (data as service)  Interoperable geospatial services(analysis as service)  Metadata-driven data fusion (semantic service chaining) Interoperable Information Infrastructure Technology  Open data access established (OpenDAP, OGC)  Common geospatial schema adopted (GML, ESML)  Geospatial service catalog established (WSDL, UDDI)  Open geospatial ontology converges (OWL) Data  Open service protocols established (HTTP, REST)  Common service protocol, description adopted (SOAP, WSDL)  Unified security & identity management (WS-Security, SAML)  Standard workflow language infused (BPEL) Messaging

  22.  Open geospatial services proliferate  Widespread production quality geospatial services  Interoperable geospatial services(analysis as service)  Metadata-driven data fusion (semantic service chaining)  Geospatial service catalog established (WSDL, UDDI)  Open geospatial ontology converges (OWL)  Common geospatial schema adopted (GML)  Unified security & identity management (WS-Security, SAML)  Standard workflow language infused (BPEL)  Common service protocol, description adopted (SOAP, WSDL) Current Current Near Term Near Term 0- 2 yrs Mid Term 2- 5 yrs Mid Term Long Term 5+ yrs Long Term Web Services Roadmap 2007 Update Results  Improved Information Sharing  Accelerated Research & System Cost Savings  Increased Collaboration & Interdisciplinary Science  Increased PI Participation in Information Production  Automated Data Utilization  Increased Data Utilization Outcome  Geospatial services established  Open geospatial services proliferate  Production quality geospatial services  Intelligent Services Output Capability  Parameter-based product searches and access  Full geospatial logical searches and access  Semantic geospatial search & access  Automatic service mediation Assisted Discovery & Mediation  Local processing + data exchange  Basic data tailoring services (data as service)  Interoperable geospatial services(analysis as service)  Metadata-driven data fusion (semantic service chaining) Interoperable Information Infrastructure Technology  Open data access established (OpenDAP, OGC)  Common geospatial schema adopted (GML)  Geospatial service catalog established (WSDL, UDDI)  Open geospatial ontology converges (OWL) Data  Open service protocols established (HTTP, REST)  Common service protocol, description adopted (SOAP, WSDL)  Unified security & identity management (WS-Security, SAML)  Standard workflow language infused (BPEL) Messaging

  23. Subgroup Lead: Peter Fox HAO/ESSL/NCAR Technology InfusionSemantic Web Sub-Group

  24. Semantic Web Subgroup • Developed Semantic Web Roadmap • Aligned to Capability Vision • Aligned to the Web Services Roadmap • Created hype cycle for semantic web technologies • Presented tutorials on semantic web at ESDS WG, ESIP Fed winter and summer meetings, demonstrations, etc.

  25. NATIONAL AERONAUTICS AND SPACE ADMINISTRATION Semantic Web Roadmap  Improved Information Sharing  Increased Collaboration & Interdisciplinary Science  Acceleration of Knowledge Production  Revolutionizing how science is done Results Outcome  Geospatial semantic services established  Geospatial semantic services proliferate  Scientific semantic assisted services  Autonomous inference of science results Output  Some common vocabulary based product search and access  Semantic geospatial search & inference, access  Semantic agent-based searches  Semantic agent-based integration Assisted Discovery & Mediation Capability  Local processing + data exchange  Basic data tailoring services (data as service), verification/ validation • Interoperable geospatial services(analysis as service), results explanation service  Metadata-driven data fusion (semantic service chaining), trust Interoperable Information Infrastructure  SWEET core 1.0 based on GCMD/CF  SWEET core 2.0 based on best practices decided from community  SWEET 3.0 with semantic callable interfaces via standard programming languages  Reasoners able to utilize SWEET 4.0 Technology Vocabulary  RDF, OWL, OWL-S  Geospatial reasoning, OWL-Time  Numerical reasoning  Scientific reasoning Languages/ Reasoning Current Near Term (0-2 yrs) Mid Term (2-5 yrs) Long Term (5+ yrs)

  26. NATIONAL AERONAUTICS AND SPACE ADMINISTRATION Semantic Web Roadmap (expanded capability) Capability  Some common vocabulary based product search and access  Semantic geospatial search & inference, access  Semantic agent-based searches  Semantic agent-based integration Assisted Discovery & Mediation  Ontologies for data mining, visualization and analysis emerging/ maturing  Common terminology captured in ontologies, crossing domains  Provenance/ annotation with ontologies in user tools  Some metadata and limited provenance available Assisted Knowledge Building  Verification is manual with minimal tool support  Ontologies for information quality developed  Domain and range properties in ontologies used in tools  Service ontologies carry quality provenance Verifiable Information Quality  Services must be hardwired and service agreements established  Services annotated with resource descriptions  Dynamic service discovery and mediation, and data scheduling  Semantic markup of data latency (time lags) which adapt dynamically Responsive Information Delivery  Local processing + data exchange  Basic data tailoring services (data as service), verification/ validation • Interoperable geospatial services(analysis as service), results explanation service  Metadata-driven data fusion (semantic service chaining), trust Interoperable Information services  Limited metadata passed to analysis applications  Tag properties, non-jargon vocabulary for non-specialist use  Shared terminology for the visual properties of interface objects and graph types...  Semantic fields to describe tag key modal functions. Interactive Data Analysis  Access mediated by agreed standard vocabularies, hard-wired connections  Access mediated by common ontologies  Mediation aided by services with domain/ range properties  Key data access services are semantically mediated Seamless Data Access Current Near Term (0-2 yrs) Mid Term (2-5 yrs) Long Term (5+ yrs)

  27. Hype Cycle for Semantic Web Query Lang, SPARQL Visibility Semantic Web Services XML Semantic Wiki Concept map, Cmap Smart search, e.g. NOESIS RDF Mid-level ES ontologies, e.g GEON OWL Protégé Tagging / annotation Reasoners, e.g. Pellet, Racer, DIG Ontology, e.g. SWOOP SKOS, FOAF Rules/Logic, SWRL Mid-level ES ontologies, e.g SWEET Validators OWL 1.1 Upper level ontologies, e.g ABC Managing, modular ontologies (ES and general) Natural Language Ontologies Time Slope of Enlightenment Plateau of Productivity Technology trigger Peak of Inflated Expectations Trough of Disillusionment 2007 Hype Cycle for Emerging Semantic Web Technologies v0.2

  28. Subgroup Lead: Karen Moe ESTO Technology InfusionSensor Web Sub-Group

  29. Sensor Web Concept View (2007) Image from the NASA report ESTO AIST Sensor Web Technology Meeting Feb 2007

  30. Sensor Web Subgroup Objectives • Provide a technology infusion forum for the ESTO Advanced Information Systems Technology (AIST) principal investigators • 35 projects of varying duration (1, 2 and 3 years) • Projects initiated Aug 06 - Jan 07 • Participation is voluntary • Subgroup started March 2007 • Telecon each 4th Tuesday at 2:00 pm eastern • Dial in: 800-988-9494 Passcode: 85139 • AIST Sensor Web sensorweb@lists.sciencedatasystems.org • SensorWeb collaboration site: http://teambps.mywsssite.com/seeds/wg/infusion/sensorweb/default.aspx

  31. Sensor Web Subgroup Activities • Developed material for sensor web tutorial • Presented at the ESIP Fed summer meeting July 07 • Limited assessment of use cases • Jointly addressing sensor web metrics with Metrics WG • Telecons and meetings held (e.g. session at the NASA Science Technology Conference 2007) to explore the evolving definition of sensor web concepts and implications for defining success metrics • Overlapping themes - Web Services and Semantics • Plans to develop use cases • Ecology/ land use • Weather • Disaster Response • And develop a sensor web wiki

  32. Sensor Web Metrics • Two perspectives on metrics: • Measure to what degree a system approaches/meets the sensor web definition (or ideal) • Measure utility of the sensor web system (performance, productivity, usability) • Current ideas • Explore the usefulness of developing a “sensor web readiness level” assessment mechanism, ala TRL (technology readiness level) • Decompose sensor web concepts/components into identifiable, and perhaps measurable, sensor web levels • Seek measures of the utility factor, for example • Performance (e.g. response time) • Productivity (e.g. outcome metrics like publications, new capability, cost improvement, on-demand data acquisition, new products/ products on demand, new users, impact of standards use) • Usability (time spent on task, accessibility) • Joint session with Metrics on Thursday morning

  33. Sensor Webs and WGISS • Committee on Earth Observing Satellites (CEOS) - Working Group on Information Systems and Services (WGISS) • CEOS committed support to the international Group on Earth Observations (GEO) to demonstrate the role of remote sensing satellites to global observation systems • CEOS pursuing Virtual Constellations and WGISS embraced the GEO sensor web task • Task team exploring potential joint demonstrations • Show power of the sensor web approach for selected scenarios • Use available assets from members - decision support systems, in situ sensor networks, mobile sensors, flight instruments and data, analysis and prediction systems • Assess interoperability protocols • Register services

  34. Technology Infusion Breakout Sessions

  35. TIWG Breakout Agenda • Tuesday, Oct 23, 2007 • TIWG breakout 1, 1:30 – 3:30 • Selection of new community co-chair • Discussion - future technology focus and new key technology areas for evaluation • TIWG breakout 2, 4:00 - 5:00 • Web services registries • Use Cases • Wednesday, Oct 24, 2007 • AM - Joint working groups session. TIWG topics; sensor webs and emerging technology tracking (hype cycle & del.icio.us) • Thursday, Oct 25, 2007 • 8:30 – 9:30 Joint meeting with metrics working group on metrics for sensor web and web services • 10:00 – 10:30 Joint meeting with reuse working group on reuse readiness levels (similar to TRLs) • TIWG Breakout 3 10:30 - 12:00 • Review of subgroups, goals and objectives for 2008 • How to better work with the larger community - relationships with other groups e.g. GEOSS

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