Knowledge-centred Earth Observation (KEO) Phase 1 Final Presentation

ESRIN – June 19, 2006 – Slide 1KEO Phase1 Final Presentation

Knowledge-centred Earth ObservationKnowledge-centred Earth Observation(KEO)(KEO)

Phase 1 Final PresentationPhase 1 Final Presentation

Sergio D’EliaHead - Service Support and Ground Segment Technology

EOP – Ground Segment Department


Technology Results Technology Results

SSE

KIM

Service Support Environment

Knowledge-based Information Mining


Service Support EnvironmentService Support Environment

SSE

Chainable Web Services

Catalogue Order Delivery Tasking Processing Archive

Non-EO Domain Services (GIS)

Data Access Services

Service Provider (user)

EO Domain Services

Service publication, chaining, discovery, activation, monitoring

Services

• Can be automatic or manual

• Remain by the providers

• Can be from any domain

Advantages

• Minimised upfront investments

• Reduced time to market

• Reduced costs (use synergies)

• Easier GS interface (e.g.: simple catalogue service, DDS, …)

Operational

• http://services.eoportal.org


Service Provider 1 Service Provider 2

Internet ToolBo

x

A1

A3A2

- Subscription- Service Classification- Tuneable User Interface- Service Characterisation- Area of Interest- User Feedback- Monitoring / Control- Documents / Tools

SSE PortalSSE Portal

A1 A2

A3

Service A

- Service A- Service B- …

SSE ArchitectureSSE Architecture

Only flow control in Portal (data exchange external)

Uses only 4 commands

Customisable Services

ToolBox (supports widely used legacy standards and translates terms)

Regional / Thematic portals

User

Requests Info

On-line / Off-line Results

Workflows

Directories

Functions


Service Chaining ExampleService Chaining Example

“Carbon flux over Belgium in GeoTIFF format (Kyoto

Protocol verification)”

User need:

Data Provider

Data Provider

ValueAdder

ServiceProvider

FormatConversion

Clipping

Spot VegetationSensor S10

Net Flux ofCarbonMap (HDF)

HDFGeoTIFF

Europe Belgium

Automation of Business Process


SSE Use OpportunitiesSSE Use Opportunities

SSE PortalSSE Portal

A1 A2

A3

Services

RestrictedAccess

PublicAccess

Internal Use

Test / automate internal procedures

(chain own services)

Restricted UseCooperate /

exploit synergieswith other SPs

Restricted AccessProvide services to selected users

Public AccessProvide services:

from one / more SPsmanual / automatic

simple / chained


Knowledge-based Information MiningKnowledge-based Information Mining

Data KIMDatabase

InformationMining

ClientIngestion

Probabilistic Information Mining method permitting to search an entire image collection for large or well characterised areas

Based on• A simple GUI for system training / refinement from sample images• Application of training to the entire image collection• Reuse of training performed by other users

Provides• Matching image identifiers• Maps of feature extents• GIS objects

Demonstrator available at http://kes.esrin.esa.int/kes


KIM User InterfaceKIM User Interface

A few clicks’ trainingApplied to all ingested images

KIM

permits interactive training for new features and real-time search within the image collection


KEO PositioningKEO Positioning

SSE

KEO

KIM

Non-EO Domain Services (GIS)

Data Access Services

Service Provider (user)

EO Domain Services

Catalogue Order Delivery Programming Processing Archive


KEO ConceptKEO Concept

SSEInformationWorkflow

Engine

Information Extraction Probabilistic

Feature Extr.

Support

Alg

ori

thm

s

Knowledgebase

Descriptions

Discovery /Chaining /

ManagementClient

Database

Data

InformationMining

ClientIngestion

KIM

Service IF

Information

Catalogue IF

KEO


KEO Main CapabilitiesKEO Main Capabilities Interactive Probabilistic Information Mining (PIM)

• Train the system (to identify features in image collections)

• Obtain image identifiers or feature maps / objects

• Associate semantic terms to “feature labels”

• Store training for reuse also by others

Component-based Processing Environment (CPE)• Accept / classify information extraction modules (also from KIM)

• Create local Web Services

• Chain / execute Web Services under workflow engine control

• Store output into Web Servers

• Publish workflows or Web Servers Services into SSE

• Accept external modules or images

Environment Management• Monitor / control PIM and CPE

• Manage knowledgebase (multi-domain + KEO specific)


SSE = Service Support EnvironmentKIM = Knowledge-based Information MiningMIMS = MERIS Information Mining Services

MERIS Cloud-free Subscription ServiceMERIS Cloud-free Subscription Service

Information

Orders

FTP

Subscription e-mail

Service n

User

SSE

Ingestion

MERIS RRArchives

KIMDatabase

Information Mining

KIM

Expert

Cloud-freeService

MIMS

User Authorisation


Classification OntologyClassification Ontology

Domain

Product

Processor

Service

Leaves define“Service Categories”(improving stability)

Classification Knowledge-base(single, shared, stable, multi-lingual)

Portfolio Data-base(local, specific, dynamic, selected language)

Semantic links

Domain(Service Category)

Domain(Service Category)


Multi-domain ThesaurusMulti-domain ThesaurusEnvironment

Oil Seepage Detection

Algae Bloom

Oil Spill Detection

Marine Resources

Operational Oceanography

Offshore Envir.

Marine Envir.

Algae

Algae Bloom Detection

Resources

Service

Processor

Product Product

Processor

ServiceService

System BSystem A System F

Coastal Envir.

Marine Pollution

Oil Spill Oil Seepage

Oil Spill Mov. Forecast

Service

System E

Land

Service

System D

Service

System C