smartresource: proactive self-maintained resources in semantic web
DESCRIPTION
SmartResource: Proactive Self-Maintained Resources in Semantic Web. TEKES Project proposal Vagan Terziyan, Project Leader Industrial Ontologies Group Agora Center, University of Jyväskylä. Our Team and Consortium. University of Jyväskylä. Industrial Ontologies Group (SmartResource). - PowerPoint PPT PresentationTRANSCRIPT
SmartResource:SmartResource: Proactive Self-Maintained Proactive Self-Maintained
Resources in Semantic WebResources in Semantic Web
SmartResource:SmartResource: Proactive Self-Maintained Proactive Self-Maintained
Resources in Semantic WebResources in Semantic Web
TEKES Project proposal
Vagan Terziyan, Project Leader
Industrial Ontologies GroupAgora Center, University of Jyväskylä
SmartResource: Project Proposal 2 of 21
Our Team and ConsortiumOur Team and ConsortiumOur Team and ConsortiumOur Team and Consortium
University of JyväskyläUniversity of Jyväskylä
Industrial Ontologies Group (SmartResource)
““Industrial Ontologies” Group:Industrial Ontologies” Group: http://www.cs.jyu.fi/ai/OntoGroup/index.htmlhttp://www.cs.jyu.fi/ai/OntoGroup/index.html
SmartResource: Project Proposal 3 of 21
Networked Business EnvironmentsNetworked Business EnvironmentsNetworked Business EnvironmentsNetworked Business Environments
Some purposes of NBE development :
• knowledge management: mining, accumulation and sharing of expert
knowledge within the whole enterprise
• knowledge business: deliver gained enterprise experience to
external market
• new (value-added) services and solutions
• integrated business solutions
Semantic Web technology provides standards for metadata and ontology development such as semantic annotations (Resource Description Framework) and knowledge representation (Web Ontology Language). It facilitates interoperability of heterogeneous components, authoring reusable data and intelligent, automated processing of data.
Semantic Web is an enabling technology for the future Networked Business Environment
“In a networked business environment Metso will be a business hub controlling the flow of information in the network of installed Metso devices and solutions, and Metso’s customers and partners.” (Future Care)
SmartResource: Project Proposal 4 of 21
Bringing New Value to the DataBringing New Value to the DataBringing New Value to the DataBringing New Value to the Data
Reusing data
Sharing data
Integrating data
Networked Business Environment requires new advanced ways of data and knowledge management
Industrial Maintenance domain is a good application case for the concept of the Networked Business Environment
Networked Maintenance EnvironmentNetworked Maintenance Environment will bring all benefits of the knowledge management, delivering value-added services and integration of businesses
Emerging Semantic Web application areas: Knowledge Management e-Business Enterprise Application Integration
Emerging Semantic Web application areas: Knowledge Management e-Business Enterprise Application Integration
in
PROJECT WIDER OBJECTIVEPROJECT WIDER OBJECTIVEPROJECT WIDER OBJECTIVEPROJECT WIDER OBJECTIVE
- to combine the emerging Semantic Web, Web Services, Peer-to-Peer, Machine Learning and Agent technologies for the development of a global and smart maintenance management environment, to provide Web-based support for the predictive maintenance of industrial devices by utilizing heterogeneous and interoperable Web resources, services and human experts
Tekes Project Application, Submitted January 2004
SmartResource: Project Proposal 6 of 21
Classes of resourcesresources in maintenance systems:
• Devices - increasingly complex machines, equipment, etc., that require costs-demanding support
• Processing Units (Services) – embedded, local and remote systems, for automated intelligent monitoring, diagnostics and control over devices
• Humans (Experts) – qualified users of the system, operators, maintenance experts, a limited resource that should be reused
Industrial ResourcesIndustrial ResourcesIndustrial ResourcesIndustrial Resources
SmartResource: Project Proposal 7 of 21
MAIN RESEARCH OBJECTIVEMAIN RESEARCH OBJECTIVEMAIN RESEARCH OBJECTIVEMAIN RESEARCH OBJECTIVE
Our intention is to provide tools and solutions to make heterogeneous industrial resources (files, documents, services, devices, processes, systems, human experts, etc.) web-accessible, proactive and cooperative in a sense that they will be able to analyze their state independently from other systems or to order such analysis from remote experts or Web-services to be aware of own condition and to plan behavior towards effective and predictive maintenance.
GUNGUN
GGlobal lobal
UUnderstanding nderstanding
eeNNvironmentvironment
SmartResource: Project Proposal 8 of 21
Smart Maintenance EnvironmentSmart Maintenance EnvironmentSmart Maintenance EnvironmentSmart Maintenance Environment
““Devices with Devices with on-line data”on-line data”
““Experts”Experts”
Maintenance
Maintenance
On-line learning
On-line learning
““Services”Services”
exchangeexchange
datadata
Maintenance
Maintenance
datadata
exchange
exchange
SmartResource: Project Proposal 9 of 21
Research and Development:
• Resource State/Condition Description Framework (RSCDF) based on Semantic Web and extension of RDF (Resource Description Framework)
• RSCDF adapters (wrappers)
for devices, services and experts:
- browsable devices
- application-expert interface
- RSCDF-enabled services
Project Objectives (Year 1)Project Objectives (Year 1)Project Objectives (Year 1)Project Objectives (Year 1)
Define Semantic Web-based framework for unification of maintenance data and interoperability in maintenance system
““Device”Device”
““Expert”Expert”
““Service”Service”
RSCDFRSCDF
SmartResource: Project Proposal 10 of 21
Project Objectives (Year 2)Project Objectives (Year 2)Project Objectives (Year 2)Project Objectives (Year 2)
• Adding agents to resources• Enabling resource proactive
behavior. Designing
Resource Goal/Behavior
Description Framework (RGBDF - LiteRGBDF - Lite)
• Designing agents to maintain
resources (RGBDF EngineRGBDF Engine)
• Implementation of agent-communication scenarios• service learning
• remote diagnostics
Development of agent-based resource management framework and enabling meaningful resource interaction
”Adapter”
““Expert”Expert”
““Service”Service”
““Device”Device”
Resource Resource AgentAgent
Smart MaintenanceSmart Maintenance EnvironmentEnvironment
““Device”Device”
““Expert”Expert”
““Service”Service”
Remote diagnostics
Service learning and remote diagnostics
ExpertExpert ~~ ServiceService
LiteLite
SmartResource: Project Proposal 11 of 21
Project Objectives (Year 3)Project Objectives (Year 3)Project Objectives (Year 3)Project Objectives (Year 3)
• Development of P2P agent-communication system• Resource Discovery• Maintenance Data & Knowledge Integration• Certification and credibility assessment of services
• Research of the Resource Goal/Behavior Description Framework• Semantic modelling of a resource proactive behaviour• Exchanging & integrating models of resource (maintenance) behaviour
• Testing “on-the-field” using• Real devices• Existing diagnostic software as Web-services• Experts
Development of networked maintenance environment
SmartResource: Project Proposal 12 of 21
““Expert” NetworkExpert” Network
““Device”Device”
““Service”Service”
Diagnostic model
““Expert”Expert”
User interface
Labelled data
Labelled data
Labelled
Labelled
datadata
Learning
Learning
diagnostic resultsdiagnostic results
and querying
and querying
sample
sample
LabelledLabelled datadata
QueryingQuerying diagnostic
diagnostic resultsresults
Maintenance Networking EnvironmentMaintenance Networking EnvironmentMaintenance Networking EnvironmentMaintenance Networking Environment
““Device” NetworkDevice” Network
““Service” NetworkService” Network
”Adapter”““RSCD Alarm RSCD Alarm Service”Service”Sensor dataSensor data
RSCDF RSCDF datadata
”Adapter”Sensor dataSensor dataRSCDF RSCDF
datadata
““Embedded Embedded Alarm Service”Alarm Service”
Local (Embedded) PlatformLocal (Embedded) Platform
”Adapter” RSCDF RSCDF datadata
Remote Expert PlatformRemote Expert Platform
”Adapter” Learning process
RSCDF RSCDF datadata
Remote Service PlatformRemote Service Platform
History data
Resource Resource AgentAgent
Resource Resource AgentAgent
Resource Resource AgentAgent
SmartResource: Project Proposal 13 of 21
P2P networkingP2P networkingP2P networkingP2P networking
- highly scalable- highly scalable
- fault-tolerable - fault-tolerable
- supports dynamic changes of network structure
- supports dynamic changes of network structure
- does not need administration - does not need administration
Why to interact?
1. Resource summarizes “opinions” from multiple services;2. Services “learns” from multiple teachers;3. One service for multiple similar clients;4. Resources exchange lists of services;5. Services exchange lists of clients.
- network of hubs- network of hubs
SmartResource: Project Proposal 14 of 21
Lear
ning
and
tes
t sa
mpl
e.
Lear
ning
and
tes
t sa
mpl
e.
Que
ryin
g di
agno
stic
res
ults
.
Que
ryin
g di
agno
stic
res
ults
.
Integrating servicesIntegrating servicesIntegrating servicesIntegrating services
““Service”Service”
““Device”Device”Labelled data
Learning sample
Test sample
““Service”Service”
Diagnostic model
Diagnostic model
ww11
ww22
ww33
ww44
ww55
Evaluation and Evaluation and Result integration Result integration
mechanismmechanism
…
Labelled data
Labelled data
Lab
elled d
ataL
abelled
data
Device will support service composition in form of ensembles using own models of service quality estimation. Service composition is made with goal of increasing diagnostic performance.
SmartResource: Project Proposal 15 of 21
Integrating knowledgeIntegrating knowledgeIntegrating knowledgeIntegrating knowledge
““Service”Service”
Diagnostic model
Diagnostic model
…
““Device”Device”
Labelled data
““Device”Device”““Device”Device”
Labelled data
…
““Device”Device”
““Device”Device”““Device”Device”
Labelled data
Labelled data
Labelled data
Labelled data
1n
Device-specific diagnostic model
Device Class-specific diagnostic model
Service builds classification model; many techniques are possible, e.g.:• own model for each device;• one model from several devices of the same type (provides device experience exchange) .
SmartResource: Project Proposal 16 of 21
CertificationCertificationCertificationCertification
Sure, there are security threats as in any open environment. Security is to be ensured using existing solutions for Internet environment. Existence of certification authorities is required in the network. Certificates gained by services and trust to the certificate issuer are factors that influence optimal service selection. The quality of service is evaluated by users as well.
Sure, there are security threats as in any open environment. Security is to be ensured using existing solutions for Internet environment. Existence of certification authorities is required in the network. Certificates gained by services and trust to the certificate issuer are factors that influence optimal service selection. The quality of service is evaluated by users as well.
53
4
Certifying party
Device
Service 1
Service 2
Service 3
612
Own evaluations
trust
SmartResource: Project Proposal 17 of 21
Development StagesDevelopment StagesDevelopment StagesDevelopment Stages
Year 1: Resource Adapters to the RSCDF-based unification of resourcedata; Remote resource access in Semantic Web environment
Year 2: Resource Agents for remote diagnostics; Learnability of services
Year 3: Support for semantic P2P networking and diagnostic services integration
Project will produce 3 versions of prototype software by implementing the following components and functionality:
SmartResource: Project Proposal 18 of 21
Project ResultsProject ResultsProject ResultsProject Results
Service
Interaction ”One device – many services”Interaction ”One device – many services”
P2P environment that integrates many devices, many services, many human experts and supports:
Discovery of necessary network components using their profiles
Interaction ”One service – many devices”
Adaptation of resources (devices, services, experts) to the Environment
Adaptation of resources (devices, services, experts) to the Environment
Support for services that are able to learrnSupport for services that are able to learrn
Unification of maintenance data
Unification of maintenance data
Research Results:RSCDFRGBDF
Proactive ResourcesP2P Maintenance
Research Results:RSCDFRGBDF
Proactive ResourcesP2P Maintenance
Resource Resource AgentAgent
SmartResource: Project Proposal 19 of 21
New partnersNew partners
……are warmly welcome!are warmly welcome!
SmartResource: Project Proposal 20 of 21
Obtain More Information about Obtain More Information about SmartResource from:SmartResource from:Obtain More Information about Obtain More Information about SmartResource from:SmartResource from:
Head of SmartResource Industrial Consortium (Steering Committee Head) Dr. Jouni Pyötsiä, Metso Automation Oy.
[email protected] , Tel.: 040-548-3544
SmartResource Contact Person Prof. Timo Tiihonen, Vice-Rector, University of Jyväskylä
[email protected] , Tel.: 014-260-2741
SmartResource Project Leader Prof. Vagan Terziyan, Agora Center, University of Jyväskylä
[email protected] , Tel.: 014-260-4618
SmartResource: Project Proposal 21 of 21
Obtain More Information about Obtain More Information about SmartResource from:SmartResource from:Obtain More Information about Obtain More Information about SmartResource from:SmartResource from:
Presentation of our group:
http://www.cs.jyu.fi/ai/OntoGroup/IOG_Presentation.ppt
Sample of presentation of our SmartResource project activities:
http://www.cs.jyu.fi/ai/Madeira.ppt (in text: http://www.cs.jyu.fi/ai/Smart_Resource.doc )
Some relevant research papers of our group:
http://www.cs.jyu.fi/ai/Mobile_Components.dochttp://research.i2r.a-star.edu.sg/iaamsad/ijcss/Journals/Vol4No2/2003-2-terzijan-5.PDF http://www.cs.jyu.fi/ai/papers/IJWSR-2004.pdf
More papers of our group:
http://www.cs.jyu.fi/ai/vagan/papers.html
Web sites of our group with more information:
http://www.cs.jyu.fi/aihttp://www.cs.jyu.fi/ai/OntoGroup