Download - SeMMA 2008
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Semantic Hubs for Geological Projects
P. DURVILLE (INRIA), F. Husson (BRGM)
& e-WOK_HUB Consortium
SeMMA 2008
e-WOK_HUB Consortium : INRIA, EADS, LISI/CRITT, BRGM, IFP, ENSMP
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Outline
• Introduction : Use-case/application context (geological projects)
• Global architecture : SOA and Semantic web technologies
• Zoom on ontology management services : ECCO tool
• Zoom on annotation generation services : global process
• Zoom on search service : geographical search
• Conclusion
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Use-case / Application context
CO2 geological storage prospection projects
• In which are involved people with different profiles
– geologists, researchers, engineers, project leaders…
• Working on a large variety of available resources
– Internal or external project reports, scientific articles, databases …
• Producing new knowledge that can be usefull for current and future projects improving a better reuse of knowledge.
Need the discovery, interoperability and integration of these resources
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Global architecture
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SOA and Semantic Web technologies
Semantic web technologies • Ontologies (RDFS/OWL lite)• Annotations (RDF)• Rules (CORESE rules)• Queries (SPARQL)
SOA (service oriented architecture)• ESB (Petals)• Semantic web services (SAWSDL)
CORESE is used to find possible service compositions
a hub is a warehouse of semantic business resources
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Service metadata creation process
WSDL
Semantic repository
SAWSDL
RDF
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How to use service metadata?
WSDL
Semantic repository
SPARQL query
CORESE
BPEL activities
Orchestra
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Zoom on different services
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Ontology management service - ECCO
ECCO : ontology editor
• contextual and collaborative
• ontology whole life cycle • term extraction from domain texts
• vocabulary development
• hierarchy construction
• OWL Lite representation edition
• Track of modifications for annotation evolution
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ECCO:
Term extraction from domain texts
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ECCO :
Colla-borative vocabulary edition
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Annotation services
• Annotation generation
• Annotation storage
• Annotation evolution
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Annotation services
• Annotation generation
• Annotation storage
• Annotation evolution
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Annotation generation services
Language detection
Grammatical analysis
Semantic annotation Statistic annotation
+ Annotation dc :language
+ Annotations verb, adj., noun, …
+ Annotations Of domain
Text only
- Annotations verb, adj., noun, …
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Annotation generation services
Language detection
Grammatical analysis
Semantic annotation Statistic annotation
+ Annotation dc :language
+ Annotations verb, adj., noun, …
+ Annotations Of domain
Text only
- Annotations verb, adj., noun, …
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Semantic annotation service
Linguistic process
Term extractor
CORESE
RDF generation
Text
Ontologies (OWL/RDFS)
Jaro-Winkler
Pattern (SPARQL)
slack
“3D stratigraphic geometries of the intracratonic MesoCenozoic Paris Basin were obtained by sequence stratigraphic correlations…”
<rdf:RDF xmlns:geo="http://rdf.inria.fr/geo/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:wl="http://model.core.weblab.eads.com#"><wl:Segment rdf:about="weblab://myWS/myDocument#1_inriaForGeo_1"> <geo:geolocalized rdf:resource="http://rdf.insee.fr/geo/DEP_75"/></wl:Segment></rdf:RDF>
Annotations (RDF)
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Search service
Search examples :
- Documents with content talking about Paris basin area
- Documents with content at 50 km from Reims
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Many various databanks
2 different ways for the geolocalization of resources
Reports written by
BRGM and IFP
Databases
ex : National Borehole Databank
direct geolocalization indirect geolocalization
Annotation : {x,y} Annotation : Paris basin
Search in databases Matching with ontologies
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3 Geolocalization
1’ Cartography selection of an interesting zone
2 ProcessSemantic-Geographic bridge
PDF reportDatabase
ex : National Borehole Databank
3’ Direct geolocalization3’’ Indirect geolocalization
1’’ Textfield input for named entities
PARIS BASIN
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3 Documents found are displayed to users
1 Cartography selection of an interesting zone
2 Translation into a SPARQL querysent to and processed by a search engine
PREFIX geo: <http://rdf.insee.fr/geo/> PREFIX geo2: <http://rdf.inria.fr/geo/>PREFIX wl:<http://model.core.weblab.eads.com#> SELECT distinct ?doc WHERE { ?doc rdf:type wl:Document . ?doc wl:contains ?res . { ?res geo2:geolocalized ?x . FILTER (?res = <URI1> || ?res = <URI2> || … ) } UNION { ?res geo2:geolocalized ?y . ?z geo:subdivision ?y . FILTER (?res = <URI3> || …) } }
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Conclusion
A service oriented architecture that integrates semantic web technologies
Combining different services/tools allowing semantic metadata management such as :
• Ontology development in a collaborative and contextual way
• Ontology evolution and impact on annotations
• Annotation generation combining two different approaches
• Knowledge retrieval by means of SPARQL queries on metadata generated
Considering services as resources in order to add metadata on them so as to perform retrieval and composition of services/applications
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Conclusion - Perspectives
On annotation management : • Annotation generation on texts considering weighting
• Multi view points management of annotations
On semantic web services : • BPEL activies generation
On search aspects : • Combining semantic and specific searches:
– combining queries
– combining results
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Gracias! Preguntas?
e-WOK_HUB Consortium : INRIA, EADS, LISI/CRITT, BRGM, IFP, ENSMP