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Data 2.0|

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Neil Chue Hong
Neil Chue Hong

Presentation given at Supercomputing 2007 on the progress of data sharing models, specifically highlighting the collision of data grid / data service and Web 2.0 worlds.

Technology
1 of 17
Data 2.0 a new way of integrating data? Neil Chue Hong SC07, Reno
Summary ,[object Object],[object Object],[object Object],[object Object]
Grid versus Users ,[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],[object Object],[object Object]
Data Grids ,[object Object],[object Object],[object Object],[object Object]
Data Challenges Diversity Scale Ownership Security of data resource types, vendors, middleware, schema, metadata of collections, formats, geographical, political and social distance on individual, group, and organisation levels; intersecting yet independent for client, service and data owner; at many levels, with many tradeoffs
Move towards data services ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Make access transparent Make integration easy Make management simple
Grid Data Services ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Grid versus User: Round 2 ,[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]
The Rise of Web 2.0 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The Rise of Web 2.0 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The Four Levels of e-Science Enlightenment ,[object Object],[object Object],[object Object],[object Object]
From DSs to VREs ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
SEE-GEO: Geolinking Census DB Borders DB WFS GDAS OGSA-DAI getData getFeature geoLink Feature Portrayal GLS Portal Map Server Receive ticket for results Retrieve annotated image Store image on server Send parameterised query FPS Call out to existing FP service Cache attributes Stream polygons Request attributes Request features Run algorithm Stream relevant annotated polygons Concentrate on algorithm Access domain-specific data sets Utilise existing services Efficient delivery methods
Virtual Workspace for the Study of Ancient Documents ,[object Object]
Data 2.0: From Silos to Sharing ,[object Object],[object Object],[object Object],Manc Data Soton Data OD OD Choose Dataset Dataset Annotation VRE Portal Amy Annot. Add Annotation Edin Data OD Bob Annot. Central Annot.
Data 2.0: a new way of integrating data? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
What is the future of data? ,[object Object],[object Object],[object Object],[object Object]

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Data 2.0|

  • 1. Data 2.0 a new way of integrating data? Neil Chue Hong SC07, Reno
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  • 5. Data Challenges Diversity Scale Ownership Security of data resource types, vendors, middleware, schema, metadata of collections, formats, geographical, political and social distance on individual, group, and organisation levels; intersecting yet independent for client, service and data owner; at many levels, with many tradeoffs
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  • 13. SEE-GEO: Geolinking Census DB Borders DB WFS GDAS OGSA-DAI getData getFeature geoLink Feature Portrayal GLS Portal Map Server Receive ticket for results Retrieve annotated image Store image on server Send parameterised query FPS Call out to existing FP service Cache attributes Stream polygons Request attributes Request features Run algorithm Stream relevant annotated polygons Concentrate on algorithm Access domain-specific data sets Utilise existing services Efficient delivery methods
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