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Web Services: ES Rationale and Assertions ,[object Object],[object Object],[object Object],[object Object],Provider Push Science Pull Flow of Data Flow of Control DATA 1 Data 2 Data 2 Knowledge Prod. 1 Knowledge Prod. 2 Knowledge Prod. 4 Knowledge Prod. 3 Knowledge Prod. 5 Web Services for Refining Data to Knowledge

[Better Earth] Science is the DRIVER for the Information System!

The Researcher’s Challenge “ The researcher cannot get access to the data; if he can, he cannot read them; if he can read them, he does not know how good they are; and if he finds them good he cannot merge them with other data.” Information Technology and the Conduct of Research: The Users View National Academy Press, 1989 ,[object Object],[object Object],[object Object],[object Object],[object Object]

[For the data types they cover], OGC & OpenDAP are addressing the Finding and Reformatting tasks The custom processing of data into knowledge is still a major burden at the user end

Earth Science Data to Knowledge Transformation: Value-Adding Processes Petabytes 10 15 Terabytes 10 12 Gigabytes 10 9 Megabytes 10 6 Calibration, Transformation To Characterized Geophysical Parameters Filtering, Aggregation, Fusion, Modeling, Trends, Forecasting Interactive Dissemination ACCESS Multi-platform/parameter, high space/time resolution, remote & in-situ sensing Sensing Analysis & Synthesis Data Acquisition Value Chain (Network) InfoSystem Goal: Add as much value to the data as possible to benefit all users Data Usage Value Network Flexible data selection, and processing to to deliver right knowledge, right place right time Data - L1 Information – L2 Knowledge – L3-6? Usable Knowledge Query Data Distributed, Dynamic More Local, DAAC Processing Knowledge Use

Value-Added Processing in Service Oriented Architecture ,[object Object],Data, services and users are distributed throughout the network Users compose data processing chains form reusable services Intermediate data are also exposed for possible further use Chains can be linked to form compound value-adding processes Service chain representation User Tasks: Fi nd data and services Compose service chains Expose output Chain 2 Chain 1 Chain 3 Data Service User Carries less Burden In service-oriented peer-to peer architecture, the user is aided by software ‘agents’ Control Data Chain 1 Chain 2 Chain 3 Data Service Catalog User

Data Flow and Flow Control in AQ Management ,[object Object],[object Object],[object Object],Provider Push User Pull Flow of Data Flow of Control AQ DATA METEOROLOGY EMISSIONS DATA Informing Public AQ Compliance Status and Trends Network Assess. Tracking Progress Data to Knowledge ‘Refinery’ ,[object Object],[object Object],[object Object],[object Object]

A Sample of Datasets Accessible through DataFed/ESIP Mediation Near Real Time (~ day) ,[object Object],MODIS Reflectance MODIS AOT TOMS Index GOES AOT GOES 1km Reflec NEXTRAD Radar MODIS Fire Pix NRL MODEL NWS Surf Wind, Bext

Assertions on Web Services Technology ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Interoperability Stack ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],HTTP, SMTP Addressing, Data flow Transport XML Data format Syntax SOAP, WS-* ext. Communication behavior Protocol Schema, WSDL Types Data WSDL ext., Policy, RDF Meaning Semantics Standards Description Layer

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