1. InterRisk Discovery standards in HMA-T and Discovery in FP6 InterRisk
Interoperable GMES Services
for Environmental Risk Management
in Marine and Coastal Areas of Europe
Discovery standards in HMA-T and Discovery in FP6 InterRisk
Yves Coene, Spacebel s.a.
Hung Truong-Minh, Spacebel s.a.
Yassine Lassoued, CMRC
Discovery and Ontology Workshop, 04 March 2009, Frascati
InterRisk is a Specific Targeted Research Project (contract number ) co-funded by the Information Society and Media DG
of the European Commission within the RTD activities of the Thematic Priority Information Society Technologies
Discovery and Ontology Workshop - 4 March 2009, Frascati 1

2. Discovery and Ontology Workshop - 4 March 2009, Frascati
Outline
Part I: HMA-T
Status discovery related standards in HMA-T
Part II: InterRisk
Discovery with CSW and ontologies in InterRisk
Information Viewpoint: data and keyword ontologies
Service Viewpoint:
InterRisk Discovery Clients
InterRisk Ontology Client
Technology Viewpoint
Issues
Discovery and Ontology Workshop - 4 March 2009, Frascati 2

3. Part I – HMA-T Discovery
Discovery and Ontology Workshop - 4 March 2009, Frascati 3

4. Metadata Specifications
Datasets
OGC : GML Application schema for Earth Observation, version 0.9.3, 21/07/2008.
VGT
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5. Metadata Specifications
Services
ISO 19119:2005, Geographic Information – Services, 21/06/2006
INSPIRE Metadata IR Guidance Document, 19/12/2008.
EO Collections
ISO 19139:2007, Geographic Information – Metadata XML
INSPIRE Metadata IR Guidance Document
Action by IGN (HMA-T) to provide consistent set of XML schemas for ISO19139 and ISO19119.
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6. Discovery and Ontology Workshop - 4 March 2009, Frascati6

7. Service Specifications
Datasets
OGC : EO Products extension package for ebRIM Profile of CSW 2.0, version 0.2.2, 12/11/2008.
VGT
Discovery and Ontology Workshop - 4 March 2009, Frascati 7

8. Service Specifications
EO Dataset Collections and Services
OGC r2: Cataloguing ISO Metadata using the ebRIM Profile of CSW 2.0, version 0.1.9, 05/02/2009.
OGC r4: ebRIM Application Profile of CSW.
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9. Discovery and Ontology Workshop - 4 March 2009, Frascati
Inspire Conformance Class
main idea: metadata and service model which is semantically aligned with the Inspire Discovery Services
Discovery and Ontology Workshop - 4 March 2009, Frascati
Slide 9 9 9

10. Service Specifications
EO Dataset Collections and Services
Status:
INSPIRE conformance class integrated.
Support for ISO19119 (services metadata) and link to dataset series (collections) to be included. Action HMA-T project. Expected mid 2009.
Prototypes:
Client development in InterRisk (for InterRisk ISO19139 records).
Client and server in ESA FEDEO project (Spacebel, Spotimage) including link to SensorML (sensor discovery)
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11. Discovery and Ontology Workshop - 4 March 2009, Frascati11

12. OGC 07-063: EO Extension for WMS – objective
To evolve a consistent interpretation of the OpenGIS Web Map Server standard as a basis for interoperable WMS serving of EO products
To enable and promote interoperability between CSW and WMS services:
providing users with a mechanism to evaluate EO products before order / dissemination;
providing users with a seamless process for
discovery -> evaluation -> order / dissemination.
Discovery and Ontology Workshop - 4 March 2009, Frascati
Slide 12 12

13. OGC 07-063 – Service metadata
Discovery and Ontology Workshop - 4 March 2009, Frascati
Slide 13 13

14. Discovery and Ontology Workshop - 4 March 2009, Frascati
Part II – FP6 InterRisk
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15. Discovery and Ontology Workshop - 4 March 2009, Frascati
Entreprise Viewpoint
FP6 InterRisk
FP6 project: "Interoperable GMES Services for Environmental Risk Management in Marine and Coastal Areas of Europe"
15 partners:
Coordinator: NERSC (Norway) – Stein Sandven
CMRC: ontology design
Spacebel: ontology and discovery clients in SSE
Outcome:
InterRisk Portal and services (i.e. a thematic SSE Portal).
Ontologies, GML application schemas etc.
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16. RM-ODP Viewpoints on a System
Separation of concerns: Viewpoints
Enterprise
Enterprise Viewpoint
WHY ?
Information Viewpoint
WHAT INFO ?
Services Viewpoint
WHAT LOGIC ?
Engineering Viewpoint
HOW ?
Technology Viewpoint
STANDARDS
Information
System
Services
Engineering
Technology
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17. Discovery and Ontology Workshop - 4 March 2009, Frascati
Entreprise Viewpoint
Objective
To develop a knowledge base for oil spills and HAB, with rich semantics, which can be queried and reused over the Semantic Web
To harmonize data and metadata vocabulary amongst the InterRisk resource providers
To improve data discovery by
Adding semantics to metadata keywords
Defining relationships between keywords
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18. Discovery and Ontology Workshop - 4 March 2009, Frascati
Information Viewpoint
Ontology Design
Two sets of ontologies
Data ontologies (OWL)
 Define controlled vocabulary for oil spills and HAB GML application schemas, e.g. oil types, sampling methods, species, etc.
Keywords ontologies (SKOS  OWL)
 Define the lists of keywords (vocabulary) to be used among InterRisk resource providers, together with their relationships
 8 keywords ontologies, corresponding to 8 types of keywords:
ISO-19115: Discipline, Theme, Place, Temporal, and Stratum
SeaDataNet: Instrument, Platform, Parameter
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19. Discovery and Ontology Workshop - 4 March 2009, Frascati
Ontology Design
Information Viewpoint
Data Ontologies (OWL):
Oil:
 Defines oil names and types
Phytoplankton:
 Defines:
Effects on water life,
Sampling methods,
Syndromes
Taxonomic groups and species
Toxins
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20. Discovery and Ontology Workshop - 4 March 2009, Frascati
Ontology Design
Information Viewpoint
Keyword ontologies:
Collected terms will be used to build OWL ontologies for 8 types of keywords:
Discipline, Theme, Place, Temporal, Stratum
Parameter, Platform, Instrument
Terms from the keyword ontologies will be linked using relationships
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21. Discovery and Ontology Workshop - 4 March 2009, Frascati
Discipline Ontology
Information Viewpoint
From SeaDataNet:
DS01: Biological oceanography
DS02: Chemical oceanography
DS03: Physical oceanography
DS04: Marine Geology
DS05: Atmosphere
DS06: Cross-discipline
DS07: Administration and dimensions
DS08: Terrestrial
DS09: Cryosphere
DS10: Environment
DS11: Fisheries and aquaculture
SeaDataNet
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22. Theme Ontology Information Viewpoint
TH001: Environment
TH104: Wind Field
TH103: Slicks
TH002: Marine Environment
TH003: Coastal Environment
TH102: Oil Spill Report
TH004: Marine Pollution
TH101: Marine Oil Spill
TH006: Coastal Pollution
TH105: Wind Speed
TH201: HAB
TH203: Plankton
T202: HAB Sampling Station
TH207: Water Sample
TH206: Shellfish Sample
TH205: Sample
TH204: Phytoplankton
TH208: Sample Analysis
TH209: Bioassay Analysis
TH210: Chemistry Analysis
TH211: Phytoplankton Analysis
TH212: Toxin
TH213: Biotoxin
TH214: Phytotoxin
TH005: Coastal Hazard
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23. Discovery and Ontology Workshop - 4 March 2009, Frascati
Information Viewpoint
Place Ontology
Countries
ICES Division
North-East Greenland
Spitzbergen and Bear Island
Norwegian Sea
Baltic Sea
South-East Greenland
Iceland Grounds
Faroe Plateau
North of Azores
Northern North Sea
Skaggerak and Kattegat
Faroe Bank
West of Scotland
Rockall
Central North Sea
Belt Sea
Sound
Irish Sea
Porcupine Bank
West of Ireland
Southern North Sea
South-West of Ireland-West
South-West of Ireland-East
Celtic Sea-North
Bristol Channel
Western English Channel
Eastern Channel
Celtic Sea-South
Azores Grounds
West Bay of Biscay
Bay of Biscay-Offshore
Bay of Biscay-North
Bay of Biscay-Central
Bay of Biscay-South
Portuguese Waters-West
Portuguese Waters-East
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24. Discovery and Ontology Workshop - 4 March 2009, Frascati
Information Viewpoint
Stratum Ontology
Sea Surface
Seabed
Water Column
Parameter Ontology
Sea surface temperature
Chemistry AZP
Chemistry DSP
Bioassay PSP
Bioassay DSP, Okadaic Acid
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25. Discovery and Ontology Workshop - 4 March 2009, Frascati
Information Viewpoint
Instrument Ontology
Liquid Chromotography with Mass Spectometry
High Performance Liquid Chromotography
Microscope
Platform Ontology
Research Vessel
Satellite
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26. How Ontologies Will Be Used
Data Ontologies
Partners should use labels of ontology terms as values for data fields such as oil types, species, etc.
Keywords Ontologies
Partners should use labels of ontology terms as values for metadata keywords.
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27. How Ontologies Will Be Used
Data discovery
Data discovery will be driven by ontologies:
Users will browse the ontologies (e.g. theme, discipline, parameters, etc.) and search data using the keywords
Discipline
Theme
Place
Temporal
Stratum
Parameter
Instrument
Platform
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28. InterRisk Ontology Model
Information Viewpoint
InterRisk Ontology Model
Class_A
Instance_A1
xxxxx
Data Ontology Class e.g.: Syndrome, Symptom, Species, PhytoplanktonSpecies …
Class_Aa
Class_Ab
propertyB->Aa
kkkkk
Keyword Ontology Class e.g.: Theme, Discipline, Stratum, Place, Temporal, Parameter, Instrument, Platform
propertyAa->B
Class_B
xxxxx
Instance e.g.: Amylax_SP, DomoicAcid, ASP…
Instance_B2
Sub Class / Supper Class
KeywordType_A
Instance_B1
Property e.g.: producesToxin, producedBy, hasEffectOnWater …
Keyword_A1
Keyword_A2
Keyword_A3
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29. Example Of InterRisk Data Ontology
Information Viewpoint
Example Of InterRisk Data Ontology
PhytoplanktonSpecies
Species
ShellfishSpecies
Syndrome
Phytotoxin
EffectOnWaterLife
DomoicAcid
Amylax_SP
ASP
Symptom
Toxin
Zootoxin
Microbaltoxin
toxinCausesSyndrome
CausedByToxin
hasEffectOnWater
producedBy
producesToxin
hasSymptom
hasCausativeOrganism
causesSyndrome
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30. Discovery and Ontology Workshop - 4 March 2009, Frascati
Service Viewpoint
What:
Concerned with the functional decomposition of the system into a set of objects that interact at interfaces – enabling system distribution.
Service taxonomy:
Human Interaction Services
Portal
Ontology client.
Catalogue client(s)
Discovery Services
Ontology Server
CSW ISO AP catalogue services from partners
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31. Discovery Clients - OGC CSW Clients
Service Viewpoint
Discovery Clients - OGC CSW Clients
Specifications
InterRisk Metadata Profile of ISO19139 (subset)
OGC : CSW ISO Application Profile interfaces (OGC Discussion Paper)
OGC : CSW ISO Application Profile (OGC IS)
OGC : CIM extension package
Objective
SSE clients supporting OGC , and interfaces for InterRisk Services, Dataset Collections and Datasets
SSE Registration Wizard support for automatic generation
Test servers
NERSC, CMRC, PML, INNOVA, IFREMER catalogue servers
GeoNetwork (services catalogue installed at Spacebel)
ERDAS CIM extension package catalogue at ERDAS (Liège)
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32. Discovery and Ontology Workshop - 4 March 2009, Frascati
NERSC CSW ISO AP
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33. Ontology Client Service (Classes graph)
Service Viewpoint
Ontology Client Service (Classes graph)
PhytoplanktonSpecies
Species
Syndrome
Phytotoxin
EffectOnWaterLife
AcanthoicaQuattrospina
hasEffectOnWater
producedBy
producesToxin
hasCausativeOrganism
causesSyndrome
Actinocyclus_SP
Amylax_SP
EffectOnWaterLife-instance1
Navigate to other Class
Navigate to Instances Graph
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34. Ontology Client Service (Instances graph)
InterRisk Ontology Client
Ontology Client Service (Instances graph)
PhytoplanktonSpecies
Syndrome
Phytotoxin
EffectOnWaterLife
hasEffectOnWater
producesToxin
causesSyndrome
Amylax_SP
ASP
EffectOnWaterLife-instance1
DomoicAcid
Navigate to Classes Graph
Navigate to other Instance
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35. Discovery with Ontology and Catalogue
InterRisk Ontology Client
Discovery with Ontology and Catalogue
InterRisk ISO19139 metadata
Keyword type and Keyword values: taken from controlled vocabulary defined by InterRisk keyword ontologies
Discovery process:
Browse / search ontology graph
Related keyword class instances (their rdf:label) used as GetRecords "keyword" queryable
GetRecordsByID returns ISO record
Keyword type and values correspond to "instances" in the ontology graph which can be browsed starting from there.
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36. Discovery with Ontology and Catalogue
InterRisk Ontology Client
Discovery with Ontology and Catalogue
Class_B
Instance_Bi
Keyword_Ai
Current focus
KeywordType_A
Step-1 Automatic CSW Query (GetRecords): keyword = « Keyword_Ai »
Step-2 Metadata (GetRecordsById): Click on « Metadata » button
Step-3 Go back to « Instances Graph » Click on «  Keyword_Aj  » link
Discovery and Ontology Workshop - 4 March 2009, Frascati 36

37. Ontology Implementation
Technology Viewpoint
Ontology Implementation
SPARQL Protocol for RDF
W3C Recommendation 15 January 2008
HTTP and SOAP binding are available
OWL
W3C Recommendation 10 February 2004
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38. Ontology Implementation
Technology Viewpoint
Ontology Implementation
Ontology Server
Sesame version 2.2 (
Open Source
Integration with SSE Portal
Sesame 2.2 requires Java 5
All Sesame APIs (incl. SPARQL) use Java 5 features
Apache Tomcat 6.0 with Java SE 6.0 is recommended
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39. Discovery and Ontology Workshop - 4 March 2009, Frascati
Technology Viewpoint
Ontology Development
Protégé - Phytoplankton Ontology
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40. Discovery and Ontology Workshop - 4 March 2009, Frascati
Technology Viewpoint
Ontology Development
Protégé - Oil Ontology
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41. Discovery and Ontology Workshop - 4 March 2009, Frascati
Issues
SPARQL API on Java 5 versus SSE Java version.
Design graphical user interface. Suggestions ?
Ontology design not yet complete/stable
No links yet between data ontology and keyword ontology
No links in keywork ontologies
No service discovery through Interrisk ontology as was foreseen
(in)compatibility platform/instrument etc. with ESA GSCDA ontology sensor, etc.
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42. Discovery and Ontology Workshop - 4 March 2009, Frascati
Issues
ISO19139 information returned by GeoNetwork catalogues: not valid wrt INSPIRE MD IR Guidance document.
Include originating controlled vocabulary in metadata as per INSPIRE MD IR Guidance.
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43. Repeat for every thesaurus used.
<gmd:descriptiveKeywords>
<gmd:MD_Keywords>
<gmd:keyword>
<gco:CharacterString>Algae Bloom</gco:CharacterString>
</gmd:keyword>
<gco:CharacterString>Oil spill</gco:CharacterString>
<gmd:thesaurusName>
<gmd:CI_Citation>
<gmd:title>
<gmx:Anchor href=" Ontology 1.0</gmx:Anchor>
</gmd:title>
<gmd:date>
<gmd:CI_Date>
<gmd:date><gco:Date> </gco:Date></gmd:date>
<gmd:dateType>
<gmd:CI_DateTypeCode
codeList="
rces/Codelist/ML_gmxCodelists.xml#CI_DateTypeCode"
codeListValue="publication">publication</gmd:CI_DateTypeCode>
</gmd:dateType>
</gmd:CI_Date>
</gmd:date>
</gmd:CI_Citation>
</gmd:thesaurusName>
</gmd:MD_Keywords>
</gmd:descriptiveKeywords>
Repeat for every thesaurus used.
URN of thesaurus
Preferred solution proposed by L. Lesage (IGN)
Discovery and Ontology Workshop - 4 March 2009, Frascati 43

44. Discovery and Ontology Workshop - 4 March 2009, Frascati
Thank you.
Discovery and Ontology Workshop - 4 March 2009, Frascati 44

45. Discovery and Ontology Workshop - 4 March 2009, Frascati
CMRC CSW ISO AP
Discovery and Ontology Workshop - 4 March 2009, Frascati 45

46. Discovery and Ontology Workshop - 4 March 2009, Frascati
Multi CSW ISO AP
Discovery and Ontology Workshop - 4 March 2009, Frascati 46

47. Discovery and Ontology Workshop - 4 March 2009, Frascati
PML CSW ISO AP
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48. Discovery and Ontology Workshop - 4 March 2009, Frascati
INNOVA CSW ISO AP
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