Download - ICSSEA 2007 - Toward a semantic Web Service discovery and dynamic orchestration based on ontologies
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Toward a semantic Web Service discovery and dynamic orchestration based on ontologies
Pierre ChâtelThales Land & Joint Systems, LIP6 Computer Science Laboratory
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Thales: system integrator.
How to optimize the design, deployment and execution of integrated information and control systems ?
Major industrial constraints:
1.Maintaining interoperability during the interconnection of these systems, despite:
• heterogeneity
• dynamism
• distributivity
2.Following a specific technical frawework: SOA (Service-Oriented Architecture)
An issue...
Pierre Châtel2
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An implementation...
Pierre Châtel
Interconnection between entities’ signatures, implemented...
• at the “technical” level➥ limited and superficial interoperability.
• at the “business” (conceptual) level➥ increased interoperability, interconnection relieved of technical concerns.
Application domains:
• Military: Communication, Command, Control and Intelligence systems (C3I)
• Civilian: rescue teams coordination in crisis management system during, or after, natural disasters.
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Table of contents
1. Service-Oriented Architecture
2. Ontologies usage
3. Semantic Web Services registry
4. Semantic Web Services orchestration
5. Our framework: SETHA
6. Related Work
7. Future work
8. Concluding remarks
Pierre Châtel4
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Service-Oriented Architecture
Business service providers: Web Services.
• Separated interfaces (service offers) and implementations.
• Centralized services registry.
• Services can appear or disappear from registry at runtime.
Business service consumers: Web Processes.
• Set of atomic actions linked with flow control structures.
• Represent business processes of the application.
• Integrate features offered by Web Services at runtime.
Pierre Châtel5
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Service-Oriented ArchitectureLink between service providers and consumers
Pierre Châtel
Web ProcessRequests
Web Service
Offer
Web Service
Offer
Web Service
Offer
?
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Table of contents
1. Service-Oriented Architecture
2. Ontologies usage
3. Semantic Web Services registry
4. Semantic Web Services orchestration
5. Our framework: SETHA
6. Related Work
7. Future work
8. Concluding remarks
Pierre Châtel7
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Ontologies usage
Ontology: mean to formally specify the usually implicit business knowledge stored in the mind of experts and share it.
Ontologies are related to the system’s application domain(s).
“Flexible” link between service consumers and providers:
• Semantic information injected into service offers and requests.
Ontology-driven approach suitable:
• Fields which have already been thoroughly outlined or specified (pre-existing military ontologies).
• Knowledge shared between international partners (NATO).
➥ Semantic common ground.
Pierre Châtel8
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Ontologies usageLink between service providers and consumers
Pierre Châtel
Web Process
Re
qu
es
ts
Registry
Web Service
Off
er
Web Service
Off
er
Web Service
Off
er
RegistrationQuery
<<Annotations>> <<Annotations>>
Domain ontologies
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Consumers Common knowledge Providers
Ontologies usageLink between service providers and consumers
Pierre Châtel
Web Process
Re
qu
es
ts
Registry
Web Service
Off
er
Web Service
Off
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Web Service
Off
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RegistrationQuery
<<Annotations>> <<Annotations>>
Domain ontologies
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Ontologies usageTechnologies
Ontologies modeling:
• OWL (Ontology Web Language) languages family.
• Decidable version based on Description Logic : OWL-DL.
Service offers definition:
• SAWSDL specification (Semantic Annotation for Web Service Description Language).
• WSDL 2.0 extension
• W3C : various academic and industrial participants in a specific “Working Group”.
• Annotation of classic service definitions with meta-data (ontological classes).
Service requests definition: BPEL language and SAWSDL. Pierre Châtel10
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Ontologies usageSemantic annotation
Pierre Châtel
<description xmlns="http://www.w3.org/ns/wsdl" xmlns:tns="http://www.thalesgroup.com/TwoPiRayService/" xmlns:sawsdl="http://www.w3.org/2002/ws/sawsdl/spec/sawsdl#" targetNamespace="http://www.thalesgroup.com/TwoPiRayService/"> <types> <xsd:schema xmlns:wsdl="http://schemas.xmlsoap.org/wsdl/" (...) <xsd:element name="computeTwoPiRayStruct" sawsdl:loweringSchemaMapping="http://127.0.0.1:9090/axis2/xslt/RDFOnt2SOAPRequest.xml"> <xsd:complexType> <xsd:sequence> <xsd:element name="struct" type="tns:computeTwoPiRayStructType" /> </xsd:sequence> </xsd:complexType> </xsd:element>
<xsd:element name="computeTwoPiRayStructResponse" sawsdl:modelReference="http://www.thalesgroup.com/ontologies/setha-dyonisos-
demo.owl#PerimeterMeasure" sawsdl:liftingSchemaMapping="http://127.0.0.1:9090/axis2/xslt/SOAPResponse2RDFOnt.xsl" xsd:type="computeTwoPiRayResponseType"/> </xsd:schema> </types> <interface name="ITwoPiRayService"> <operation name="computeTwoPiRayStruct" pattern="http://www.w3.org/ns/wsdl/in-out" sawsdl:modelReference="http://www.thalesgroup.com/ontologies/setha-dyonisos-
demo.owl#PiCalculator"> <input element="tns:computeTwoPiRayStruct"/> <output element="tns:computeTwoPiRayStructResponse"/>(...)
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Ontologies usageSemantic annotation
Pierre Châtel
<description xmlns="http://www.w3.org/ns/wsdl" xmlns:tns="http://www.thalesgroup.com/TwoPiRayService/" xmlns:sawsdl="http://www.w3.org/2002/ws/sawsdl/spec/sawsdl#" targetNamespace="http://www.thalesgroup.com/TwoPiRayService/"> <types> <xsd:schema xmlns:wsdl="http://schemas.xmlsoap.org/wsdl/" (...) <xsd:element name="computeTwoPiRayStruct" sawsdl:loweringSchemaMapping="http://127.0.0.1:9090/axis2/xslt/RDFOnt2SOAPRequest.xml"> <xsd:complexType> <xsd:sequence> <xsd:element name="struct" type="tns:computeTwoPiRayStructType" /> </xsd:sequence> </xsd:complexType> </xsd:element>
<xsd:element name="computeTwoPiRayStructResponse" sawsdl:modelReference="http://www.thalesgroup.com/ontologies/setha-dyonisos-
demo.owl#PerimeterMeasure" sawsdl:liftingSchemaMapping="http://127.0.0.1:9090/axis2/xslt/SOAPResponse2RDFOnt.xsl" xsd:type="computeTwoPiRayResponseType"/> </xsd:schema> </types> <interface name="ITwoPiRayService"> <operation name="computeTwoPiRayStruct" pattern="http://www.w3.org/ns/wsdl/in-out" sawsdl:modelReference="http://www.thalesgroup.com/ontologies/setha-dyonisos-
demo.owl#PiCalculator"> <input element="tns:computeTwoPiRayStruct"/> <output element="tns:computeTwoPiRayStructResponse"/>(...)
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Ontologies usageSemantic annotation
Pierre Châtel12
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Table of contents
1. Service-Oriented Architecture
2. Ontologies usage
3. Semantic Web Services registry
4. Semantic Web Services orchestration
5. Our framework: SETHA
6. Related Work
7. Future work
8. Concluding remarks
Pierre Châtel13
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Semantic Web Services registry
• Need for providers to advertise their service offers.
• Need for consumers to select the most appropriate service offers at runtime.
➥ Centralized approach : service registry.
• Industrial requirement: keep some compatibility with legacy architectures and systems.
• Classic registry specifications: only syntax !
• Our architecture: high-level service offers extended by business semantics.
➥ Implementation of a semantic compatibility layer over a classic registry specification.
Pierre Châtel14
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Semantic Web Services registrySAWSDL to UDDI mapping
Registry technological choice:
• UDDI (Universal Description, Discovery and Integration).
• The most widespread Web service registry in the industry.
• A data model designed for storing syntactic information, but allows for evolution: BusinessEntity, BusinessService, BindingTemplate, tModel.
Semantic compatibility layer:
• SAWSDL to UDDI mapping.
• Loosely based on the WSDL 1.1→UDDI OASIS specification.
• Semantic information: as key/value pairs inside UDDI’s tModels.
• Compatibility: syntactic client and SAWSDL services, purely syntactic services still allowed.
Pierre Châtel15
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Table of contents
1. Service-Oriented Architecture
2. Ontologies usage
3. Semantic Web Services registry
4. Semantic Web Services orchestration
5. Our framework: SETHA
6. Related Work
7. Future work
8. Concluding remarks
Pierre Châtel16
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Semantic Web Services orchestration
Pierre Châtel
Orchestration: selection and collaboration of available and relevant Web Services in order to carry out a given Web Process.
Syntactic:
• Strong link and weak adaptability between service requests and offers.
• Direct (URLs of the services hard-coded in processes).
• Indirect (syntactic registry lookup before or at runtime).
Semantic:
• Uses the ontological link between service requests and offers.
• Flexible because indirect and based on high-level business knowledge stored in ontologies.
➥ Dynamic discovery of services at runtime.
➥ Late binding.
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Semantic Web Services orchestration
Technological choices: ActiveBPEL Engine™ + semantic matchmaking capabilities.
A notion of semantic equivalence:
• Computed from information stored in ontologies.
• The specialization relationship between classes (rdfs:subClassOf).
• The equivalence relationship between classes (owl:EquivalentClass).
• Works on a ‘per service operation’ basis
➥ Allows indirect and flexible links.
Syntactic problematics: operations calls on semantically-selected services.
• Discrepancies between actual data types used by services and processes
• Ontologies as canonical models for data interchange. Pierre Châtel18
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thing
componentvehicle
enginebolt
diesel_enginefuel_engine
truckcar
semitrailer
<<subClassOf>> <<subClassOf>>
<<subClassOf>><<subClassOf>> <<subClassOf>><<subClassOf>>
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extraire
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action
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extract
<<subClassOf>>
Semantic Web Services orchestrationSemantic equivalence
extract(truck):engine
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thing
componentvehicle
enginebolt
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truckcar
semitrailer
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<<subClassOf>><<subClassOf>><<subClassOf>>
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Semantic Web Services orchestrationSemantic equivalence
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extract(semitrailer):engine ➔
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thing
componentvehicle
enginebolt
diesel_enginefuel_engine
truckcar
semitrailer
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Semantic Web Services orchestrationSemantic equivalence
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thing
componentvehicle
enginebolt
diesel_enginefuel_engine
truckcar
semitrailer
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Semantic Web Services orchestrationSemantic equivalence
extract(truck):engine extraire(vehicle):diesel_engine
extract(semitrailer):engine ➔
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thing
componentvehicle
enginebolt
diesel_enginefuel_engine
truckcar
semitrailer
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Semantic Web Services orchestrationSemantic equivalence
extract(truck):engine extraire(vehicle):diesel_engine
extract(semitrailer):engine ➔
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thing
componentvehicle
enginebolt
diesel_enginefuel_engine
truckcar
semitrailer
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Semantic Web Services orchestrationSemantic equivalence
extract(truck):engine extraire(vehicle):diesel_engine
extract(semitrailer):engine ➔
✓
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thing
componentvehicle
enginebolt
diesel_enginefuel_engine
truckcar
semitrailer
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Semantic Web Services orchestrationSemantic equivalence
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extract(semitrailer):engine ➔
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thing
componentvehicle
enginebolt
diesel_enginefuel_engine
truckcar
semitrailer
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Semantic Web Services orchestrationSemantic equivalence
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extract(semitrailer):engine ➔
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componentvehicle
enginebolt
diesel_enginefuel_engine
truckcar
semitrailer
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Table of contents
1. Service-Oriented Architecture
2. Ontologies usage
3. Semantic Web Services registry
4. Semantic Web Services orchestration
5. Our framework: SETHA
6. Related Work
7. Future work
8. Concluding remarks
Pierre Châtel20
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Our framework : SETHA
Technological choices justified by industrial and legacy constraints:
• Ontologies → OWL language.
• Web service interfaces → SAWSDL specification.
• Service registry → UDDI specification, jUDDI implementation + semantic compatibility layer.
• Web Processes → BPEL language, ActiveBPEL™ implementation + semantic compatibility layer.
Standardized, free and/or open-source solutions.
End-user easy access (dedicated GUI for SAWSDL, OWL and BPEL edition)
➥ Simple and effective solution for integration of heterogeneous systems.
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Our framework : SETHA
Pierre Châtel
Specification of Services
Specification of Processes
Specification of ontologies
Specific process execution Service selection
Runtime
Specification
Service registration
Process deployment
Static
Dynamic
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Related Work
• Focuses on computing similarities between semantic service offers and requests.
• Fails to tackle the end-to-end matchmaking process by integrating service registration, process execution, data interchange and adaptation.
[Paolucci et al., 2002]: UDDI for service registration and matchmaking based on DAML-S.
[Sycara et al. 2002]: LARKS language, syntactic and semantic matchmaking.
[Di Noia et al., 2003]: matchmaking based on DL subsumption between concepts, distinguishes three distinct matchmaking degrees.
[Li & Horrocks, 2004]: matchmaking based on a DAML-S ontology (now OWL-S) and DL subsumption between whole offers and requests.
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Future Work
Ongoing work in research projects and thesis.
Generalization of SETHA to non-functional considerations (QoS).
Implementation of an extensible framework capable of handling:
1. Service filtering based on functional properties and constraints (defined using ontological concepts).
2. Service filtering based on non-functional properties, constraints (service contracts) and user preferences related to the business domain.
3. Dynamic selection of the “best” available service offer(s) based on instantaneous QoS values and user preferences.
Pierre Châtel
1
2
3
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Future Work
Pierre Châtel
Entering process execution
Service request execution
Service Filtering
Service selection
Runtime
Specification
Service registration
Process deployment
Static
Dynamic
Specification of Services
Specification of Processes
Specification of ontologies
1 2
3
done
todo
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Concluding remarks
An operational implementation, while integrating innovative solutions.
Ontologies: key elements of this solution.
Possible improvements in performance, data adaptation and reasoning on ontologies.
Integration of this implementation in a generalized framework for functional and non-functional constraints handling in Service-Oriented Architectures.
On the long term, more advanced reusability in both civilian and military activities of Thales Group.
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Thanks for your attention...
Any questions ?
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Semantic Web Services registryUDDI data model
Pierre Châtel
businessEntityinformation about the party who
publishes information about à service
businessServicedescriptive information about a
particular family of technical services
bindingTemplatetechnical information about a service
entry point and construction specifications
tModeldescription of specification for services or
taxonomies. We use it to store ontological references.
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Semantic Web Services orchestrationData adaptation
Pierre Châtel29