SmartResource: Proactive Self-Maintained Resources in Semantic Web

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

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Lear

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mpl

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Que

ryin

g di

agno

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res

ults

.

Que

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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