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EIE and ESG

Presented by Wenwen Li and Danqing Xiao Wenwen Li, Danqing Xiao, Rob Raskin, Rahul xxx, Phil Yang, Marge Cole, Myra Bambacus GMU, NASA, ESIP April-21th-2007 AAG 2007. EIE and ESG. ---- Spatial Web Portals for Supporting Sharing of Earth Science Information. Table of Content.

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EIE and ESG

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  1. Presented by Wenwen Li and Danqing Xiao Wenwen Li, Danqing Xiao, Rob Raskin, Rahul xxx, Phil Yang, Marge Cole, Myra Bambacus GMU, NASA, ESIP April-21th-2007 AAG 2007 EIE and ESG ----Spatial Web Portals for Supporting Sharing of Earth Science Information

  2. Table of Content Introduction Objectives Architecture Key Technologies Prototype Ongoing Conclusion and Discussion

  3. Introduction (1) Problems in Earth Science Data Sharing and Accessing Large amount of data Poorly cataloged Widely dispersed Difficult to access Motivation: Users’ perspective: -Fast access and acquisition of Earth Science Data Professionals’ perspective: -Data integration and sharing -Efficient spatial data management Decision Makers’ perspective: -Models and accurate Predictions for future decision making.

  4. Introduction (2) EIE: Earth Information Exchange Developed from the joint effort of NASA,ESIP,GMU Present data, Products and Services Integral and timely exchange of earth science information Support 12 national applications: Air Quality, Public Health, Carbon Management Water Management, Ecological Forecasting, Disaster Management, Agriculture, Aviation Safety, Homeland Security, Invasive Species

  5. Objectives Interoperable and Integrative Earth Science data management Platform Interoperable Plug and Play (OGC) Reduce development cost Reduce development duplication (avoid one-in-a-kind) Integrative Integrate Current Resources from NASA ESG, ESIP EIE, GMU Computing

  6. Current Resources Earth-Science Gateway (ESG) Interoperability: metadata, data, mapping, portlet level Spatial Information Retrieval Model Supporting Semantic Search NOESIS by Univ. of Alabama at Huntsville Computing Platform GMU’s grid system

  7. Infrastructure

  8. Key Technologies (1) Portal and Portlet JSR168 Standards for communication between portal and portlet containers CSW, Z39.50 client serverprotocol for searching and retrieving information from remote computer databases. Liferay Spatial Web Services OGC WMS,WFS,WCS … Portal Container Liferay, JBOSS portal, Apache JetSpeed portal….

  9. Key Technologies (2) Ontology and Semantic Search Extended SWEET Ontology SWEET: Thing Nuclei … Phenomena Earth Science Phenomena Ecological Phenomena Atmospheric Phenomena Fire ① Fires will cause dramatic change of local air quality Air quality Solid earth phenomena ② Volcanic eruptions influence at local/global scale Volcanic activity ③ Inversion cause air pollution Weather Phenomena ① ② ③

  10. Ontology-based Semantic Search Tools • -Inference Service(1) SOAP-based web service-Pellet:(1) Tableaux Algorithm(2) T-box, A-box reasoning

  11. Prototype (1)

  12. EIE Structure (Air Quality)

  13. Prototype (2)- Air Quality

  14. Prototype (3)-Map Client

  15. Ongoing –Semantic Search

  16. Conclusion and Discussion Importance of EIE Provide efficient and integral access Expendable and flexible Architecture The utilization of search tools Future directions Portlet development of semantic search Provide operational version of EIE to both general public and professionals.

  17. Thanks and Questions.

  18. Acknowledgments We appreciate the assistance of Dean Younger, Dave Omeney from Compusult ltd, Canada; Rahul, Sunil from UAH; Bin Zhou from GMU. Sponsor : NASA Collaborator : ESIP Clusters, Compusult Inc., Government Agencies

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