Semantic Web Enabled Web Services: Semantic Web Enabled Web Services: State-of-Art and Industrial Challenges State-of-Art and Industrial Challenges Vagan Terziyan, Oleksandr Kononenko “Industrial Ontologies” Group http:// www.cs.jyu.fi/ai/OntoGroup/index.htm Industrial Ontologies Group Industrial Ontologies Group Int. Conference on Web Services Europe (ICWS-Europe’03), Erfurt, Germany, Sept. 23-25, 2003 These slides are available from: http://www.cs.jyu.fi/ai/ICWS-2003.ppt
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Semantic Web Enabled Web Services: State-of-Art and Industrial Challenges Vagan Terziyan, Oleksandr Kononenko “Industrial Ontologies” Group .
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Semantic Web Enabled Web Services:Semantic Web Enabled Web Services:State-of-Art and Industrial ChallengesState-of-Art and Industrial Challenges
Vagan Terziyan, Oleksandr Kononenko
“Industrial Ontologies” Group
http://www.cs.jyu.fi/ai/OntoGroup/index.htm
Industrial Ontologies GroupIndustrial Ontologies Group
Int. Conference on Web Services Europe (ICWS-Europe’03), Erfurt, Germany, Sept. 23-25, 2003These slides are available from: http://www.cs.jyu.fi/ai/ICWS-2003.ppt
Industrial Ontologies GroupIndustrial Ontologies Group
We develop Semantic Web solutions for industry– Our research contacts with: Metso, Tietoenator, Sonera, Nokia, …
Location: – University of Jyväskylä, Finland; – National University of Radioelectronics, Ukraine
Developed Concepts:– OntoServ.Net:
• Semantic Web-based large-scale automated industrial service integration framework for asset management (case of smart-devices maintenance is under development)
– GUN (Global Understanding eNvironment):• Approach for resource integration built using combination of Semantic Web,
Web Services and Agent technologies– OntoShell:
• Agent-based representative of informational entities in semantic-enabled environment (OntoServ.Net)
– OntoAdapter:• Connector-software that adapts native service interface to OntoServ.Net
Web Services and SemanticsWeb Services and Semantics
SWWS – Web Services with semantics represented explicitly via ontology-based descriptions
Intelligent agents will use semantic web services, discovering composing them accordingly their goals– New types of service consumers: user agents, devices, AI agents
– Intelligent dynamic service integration Reasoning about service capabilities requires more advanced service
description framework than existing technology has
The promise is that Web Service Technology in conjunction with Semantic Web Technology (“Semantic Web Services”) will make service integration dynamically possible for all types and sizes of environments compared to the “traditional” technologies
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Semantic Web support for IT Semantic Web support for IT
“The Semantic Web is a vision: the idea of
having data on the Web defined and linked
in a way that it can be used by machines
not just for display purposes,
but for automation, integration and reuse
of data across various applications”
http://www.w3.org/sw/
The Semantic Web is an initiative with the goal of extending the current Web and facilitating Web automation, universally accessible web resources, and the 'Web of Trust', providing a universally accessible platform that allows data to be shared and processed by automated tools as well as by people.
SWWS main challenges (Dieter Fensel)SWWS main challenges (Dieter Fensel)
Service description Service discovery Service mediation
Web TechnologyHTTP, URI
Web ServicesUDDI, WSDL, SOAP
Semantic WebXML, RDF(S), OWL
Intelligent Web Services
Interoperability, knowledge management
E-commerce, EAI
Human-oriented data Machine-processable data
“Next-generation Web”
Dynamic
Static
Dimension Existing SWWS
Services Simple ComposableRequestor Human (developer) AgentProvider Registration No registrationMediator Key Player FacilitatorDescription Taxonomy OntologyDescriptiveness Closed world Open worldRepresentation Syntax-based Semantics-based
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UDDI needs semantics!UDDI needs semantics!
Service semantics Service interface semantics Message semantics and more..
Service model Constraints Composition rules
Domain ontologies
E-Market
E A I
Business Processes
Industrial Services
DA
ML-
S
DAML-S is an upper-ontology forservice description. Development of common domain ontologies will provide basis for semantic-enabled service descriptions.
Will be there a Semantic UDDI?Will be there a Semantic UDDI?
Semantic-enabled web services in Semantic-enabled web services in OntoServ.NetOntoServ.Net
We add semantic-enabled descriptions of services to facilitate:– automated discovery and use of services by smart-devices;– automated integration of services;– communication between heterogeneous services.
Maintenance PlatformSet of “service components”
Service PlatformSet of “service components”
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InteroperabilityInteroperability
Ontology A: Documents Ontology B: Research
A commitment to a common ontology is a guarantee of aconsistency and thus possibility of data (and knowledge) sharing
Service discovery in OntoServ.NetService discovery in OntoServ.Net
Peer-to-peer network of platforms for maintenance services
No centralized service registration Peer-to-peer semantic search based on service profiles Profile includes history of “service use efficiency”
Maintenance Centersand Maintenance Platforms
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Services as AgentsServices as Agents
Service (an agent) is a self-interested, autonomous, active, mobile(!!!) entity
If Service = Agent, than Service is mobile– Mobile code is carried by agent– Agent-shell for web services– Agent-shell as service adapter
Main strategies:
• Service composition via collaboration between agent- services• Service composition by “Service Manager” accordingly to specific goals of service platform
Mobility factors:• Security• Bandwidth• Time and other constraints
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Semantic adaptersSemantic adapters
• OntoServ.Net resources:– Services– Device– Human– Data repository
+ Semantic adapter = OntoServ.Net Service
Semantic-basedcommunication via standard protocols
In OntoServ.Net common “language” is used between adapters allows mapping into and from internal service-specific protocols.
Implementation of generic semantic-adapter software is non-trivial task, but adapters for restricted class of services (for device data access, data retrieval from DB, alarm system notifications) are less challenging.
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Service composition in OntoServ.NetService composition in OntoServ.Net
System is composed accordingly to Task Ontology New services are requested from the network when needed Service’s diagnostic “experience” is concerned
Platform
Maintenance ManagerService
Diagnostic Services
Smart-devices
Task Ontology
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Ontology support for OntoServ.NetOntology support for OntoServ.Net Common intermediate language: Unambiguous agreed vocabulary and semantics - Service taxonomy - Maintenance domain
Data access
Data access servicesData access services
Diagnostics
Diagnostic servicesDiagnostic services
Maintenance activities
User AgentsUser Agents
Sharable diagnostic knowledge representation System configuration Semantic adapter configuration
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OntoServ.NetOntoServ.Net Challenges Challenges
New group of Web service users – smart industrialsmart industrial devices devices.
Semantic Web enabled servicesSemantic Web enabled services InternalInternal (embedded) and externalexternal (Web-based) serviceservice
platforms platforms. “Mobile Service ComponentMobile Service Component” concept supposes that any
service component can move, be executed and learn at any platform from the Service Network, including service requestor side.
Semantic Peer-to-PeerSemantic Peer-to-Peer concept for service network management assumes ontology-based decentralized service network management.
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ConclusionConclusion
• Traditional web service technology is able to address some of problems today. However, in combination with Semantic Web Web Services have the potential to address these needs much better
• Semantic WebSemantic Web it is a new contextcontext within which one should rethink and re-interpret his existing businesses, resources, services, technologies, processes, environments, products etc. to raise them to totally new level of performance…
• The OntoServ.Net concept of Distributed Maintenance Network can be a good pilot case to implement the benefits of Semantic Web and Web Services integrated framework.
Agora Center (University of Jyvaskyla):Agora Center includes a network of good-quality research groups from various disciplines. These groups have numerous international contacts in their own research fields. Agora Center also coordinates and administrates research and development projects that are done in cooperation with different units of university, business life, public sector and other actors. The mutual vision is to develop future's knowledge society from the human point of view.
http://www.jyu.fi/agora-center/indexEng.html
InBCT Project (2000-2004):Innovations in Business, Communication and Technology