EIE and ESG

18
EIE and ESG EIE and ESG Presented by Presented by Wenwen Li Wenwen Li and and Danqing Xiao Danqing Xiao Wenwen Li, Danqing Xiao, Rob Raskin, Wenwen Li, Danqing Xiao, Rob Raskin, Rahul xxx, Phil Yang, Marge Cole, Myra Rahul xxx, Phil Yang, Marge Cole, Myra Bambacus Bambacus GMU, NASA, ESIP GMU, NASA, ESIP April-21th-2007 April-21th-2007 AAG 2007 AAG 2007 ---- ---- Spatial Web Portals for Supporting Sharing of Spatial Web Portals for Supporting Sharing of Earth Science Information Earth Science Information

description

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. - PowerPoint PPT Presentation

Transcript of EIE and ESG

Page 1: EIE and ESG

EIE and ESGEIE and ESG

Presented by Presented by Wenwen Li Wenwen Li andand Danqing Xiao Danqing Xiao

Wenwen Li, Danqing Xiao, Rob Raskin, Wenwen Li, Danqing Xiao, Rob Raskin, Rahul xxx, Phil Yang, Marge Cole, Myra Rahul xxx, Phil Yang, Marge Cole, Myra

BambacusBambacus

GMU, NASA, ESIPGMU, NASA, ESIP

April-21th-2007April-21th-2007AAG 2007AAG 2007

--------Spatial Web Portals for Supporting Sharing of Earth Spatial Web Portals for Supporting Sharing of Earth Science InformationScience Information

Page 2: EIE and ESG

Table of ContentTable of Content

IntroductionIntroduction ObjectivesObjectives ArchitectureArchitecture Key TechnologiesKey Technologies PrototypePrototype OngoingOngoing Conclusion and DiscussionConclusion and Discussion

Page 3: EIE and ESG

Introduction (1)Introduction (1) Problems in Earth Science Data Sharing and Problems in Earth Science Data Sharing and

AccessingAccessing Large amount of dataLarge amount of data Poorly catalogedPoorly cataloged Widely dispersedWidely dispersed Difficult to accessDifficult to access

Motivation:Motivation: Users’ perspective:Users’ perspective:

-Fast access and acquisition of Earth Science -Fast access and acquisition of Earth Science DataData Professionals’ perspective:Professionals’ perspective:

-Data integration and sharing-Data integration and sharing -Efficient spatial data management-Efficient spatial data management

Decision Makers’ perspective:Decision Makers’ perspective:-Models and accurate Predictions for future -Models and accurate Predictions for future

decision decision making.making.

Page 4: EIE and ESG

Introduction (2)Introduction (2) EIE: Earth Information EIE: Earth Information

ExchangeExchange Developed from the joint effort of Developed from the joint effort of

NASA,ESIP,GMUNASA,ESIP,GMU Present data, Products and ServicesPresent data, Products and Services Integral and timely exchange of earth Integral and timely exchange of earth

science informationscience information Support 12 national applications:Support 12 national applications:

AAir Quality, Public Health, Carbon Managementir Quality, Public Health, Carbon ManagementWater Management, Ecological Forecasting, Water Management, Ecological Forecasting, Disaster Management, Agriculture, Aviation Safety, Disaster Management, Agriculture, Aviation Safety,

Homeland Security, Invasive SpeciesHomeland Security, Invasive Species

Page 5: EIE and ESG

ObjectivesObjectives

InteroperableInteroperable and and IntegrativeIntegrative Earth Science data management Earth Science data management PlatformPlatform

InteroperableInteroperable Plug and Play (OGC)Plug and Play (OGC) Reduce development costReduce development cost Reduce development duplication Reduce development duplication

(avoid one-in-a-kind)(avoid one-in-a-kind) IntegrativeIntegrative

Integrate Current Resources from Integrate Current Resources from NASA ESG, ESIP EIE, GMU ComputingNASA ESG, ESIP EIE, GMU Computing

Page 6: EIE and ESG

Current ResourcesCurrent Resources

Earth-Science Gateway (ESG)Earth-Science Gateway (ESG) Interoperability: metadata, data, Interoperability: metadata, data,

mapping, portlet level mapping, portlet level Spatial Information Retrieval Model Spatial Information Retrieval Model

Supporting Semantic SearchSupporting Semantic Search NOESIS by Univ. of Alabama at NOESIS by Univ. of Alabama at

HuntsvilleHuntsville Computing PlatformComputing Platform

GMU’s grid systemGMU’s grid system

Page 7: EIE and ESG

InfrastructureInfrastructureEarth Science Communities through Graphical User Interfaces (GUI)

Earth Information Exchange· Web Portal Services· Local Portlets · Web Service for Remote

Portlets

Grid Services (based on Cyberinfastructure,

such as GMU Grid)

Earth Science Gateway· Portrayal Services· Reprojection· BPEL workflow · …...

Support invoke

Visualization and Interaction

Education (K- 20)National

Applications…..

Earth Science Focused Research

Existing Services (Catalog, Data, Air Quality, Public Health, Semantic, etc.)

Interoperable Interfaces (such as CS-W, WMS, WCS, etc.)

Lo

ng P

roce

ss

Te

ste

d

Acc

ess

Po

ssib

le

Acc

ess

Page 8: EIE and ESG

Key Technologies (1)Key Technologies (1)

Portal and PortletPortal and Portlet JSR168JSR168

Standards for communication between portal Standards for communication between portal and portlet containersand portlet containers

CSW, Z39.50CSW, Z39.50 client serverclient server protocolprotocol for searching and retrieving for searching and retrieving

information from remote information from remote computercomputer databases. databases. LiferayLiferay

Spatial Web ServicesSpatial Web Services OGC WMS,WFS,WCS …OGC WMS,WFS,WCS …

Portal ContainerPortal Container Liferay, JBOSS portal, Apache JetSpeed portal….Liferay, JBOSS portal, Apache JetSpeed portal….

Page 9: EIE and ESG

Key Technologies (2)Key Technologies (2) Ontology and Semantic SearchOntology and Semantic Search

Extended SWEET OntologyExtended SWEET Ontology

SWEET: Thing

Nuclei … Phenomena

Earth Science Phenomena

Atmospheric Phenomena

Air quality

Ecological Phenomena

Fire

Solid earth phenomena

Volcanic activity

Weather Phenomena ③ Inversion cause air pollution

① Fires will cause dramatic

change of local air quality ② Volcanic eruptions influence

at local/global scale

① ②

Page 10: EIE and ESG

Ontology-Ontology-based based

Semantic Semantic Search ToolsSearch Tools

Request Handler

Smart Search Broker

Ontology Inference Service

Inference Engine

SWEET Ontology

Keyword

Natural language-based Q&A

Web Pages, Documents (Meta Search: Google, Yahoo! ..)

Spatial Web Service (Spatial Web Servers)

Map Data (GCMD, ECHO)

Earth Science Ontology

(12 Topics)

• -Inference Service(1) SOAP-based web service

-Pellet:(1) Tableaux Algorithm(2) T-box, A-box reasoning

Page 11: EIE and ESG

Prototype (1)Prototype (1)

Page 12: EIE and ESG

EIE Structure (Air Quality)

Page 13: EIE and ESG

Prototype (2)- Air QualityPrototype (2)- Air Quality

Page 14: EIE and ESG

Prototype (3)-Map ClientPrototype (3)-Map Client

Page 15: EIE and ESG

Ongoing –Semantic Ongoing –Semantic SearchSearch

Page 16: EIE and ESG

Conclusion and Conclusion and DiscussionDiscussion

Importance of EIEImportance of EIE Provide efficient and integral accessProvide efficient and integral access Expendable and flexible ArchitectureExpendable and flexible Architecture The utilization of search toolsThe utilization of search tools

Future directionsFuture directions Portlet development of semantic searchPortlet development of semantic search Provide operational version of EIE to Provide operational version of EIE to

both general public and professionals.both general public and professionals.

Page 17: EIE and ESG

Thanks and Questions.Thanks and Questions.

Page 18: EIE and ESG

AcknowledgmentsAcknowledgments

We appreciate the assistance of We appreciate the assistance of Dean Younger, Dave Omeney from Dean Younger, Dave Omeney from Compusult ltd, Canada; Rahul, Sunil Compusult ltd, Canada; Rahul, Sunil from UAH; Bin Zhou from GMU.from UAH; Bin Zhou from GMU.

Sponsor : NASASponsor : NASA Collaborator : ESIP Clusters, Collaborator : ESIP Clusters,

Compusult Inc., Government Compusult Inc., Government AgenciesAgencies