1. SmartResource: Proactive Self-Maintained Resources in Semantic Web TEKES Project proposal Vagan Terziyan, Project Leader Industrial Ontologies Group Agora Center, University of Jyväskylä

2. SmartResource: Project Proposal 2 of 21 Our Team and Consortium University of Jyväskylä Industrial Ontologies Group (SmartResource) “Industrial Ontologies” Group: http://www.cs.jyu.fi/ai/OntoGroup/index.html

3. SmartResource: Project Proposal 3 of 21 Networked 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)

4. SmartResource: Project Proposal 4 of 21 Bringing 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 Environment Networked 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

5. PROJECT 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

6. SmartResource: Project Proposal 6 of 21 resources Classes of resources 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 Resources

7. SmartResource: Project Proposal 7 of 21 MAIN 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. GUN G lobal U nderstanding e N vironment

8. SmartResource: Project Proposal 8 of 21 Smart Maintenance Environment “Devices with on-line data” “Experts” Maintenance On-line learning “Services”exchange data Maintenance data exchange

9. 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) Define Semantic Web-based framework for unification of maintenance data and interoperability in maintenance system “Device”“Expert”“Service” RSCDF

10. SmartResource: Project Proposal 10 of 21 Project Objectives (Year 2) Adding agents to resources Enabling resource proactive behavior. Designing Resource Goal/Behavior RGBDF - Lite Description Framework (RGBDF - Lite) Designing agents to maintain RGBDF Engine resources (RGBDF Engine) Implementation of agent-communication scenarios service learning remote diagnostics Development of agent-based resource management framework and enabling meaningful resource interaction ”Adapter”“Expert”“Service” “Device” Resource Agent Smart Maintenance Environment Environment “Device”“Expert”“Service” Remote diagnostics Service learning and remote diagnostics Expert~Service Expert ~ Service Lite

11. SmartResource: Project Proposal 11 of 21 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

12. SmartResource: Project Proposal 12 of 21 “Expert” Network “Device” “Service” Diagnostic model “Expert” User interface Labelled data Labelled data Learning diagnostic results and querying sample Labelled data Querying diagnostic results Maintenance Networking Environment “Device” Network “Service” Network ”Adapter” “RSCD Alarm Service” Sensor data RSCDF data ”Adapter” Sensor data RSCDF data “Embedded Alarm Service” Local (Embedded) Platform ”Adapter” RSCDF data RSCDF data Remote Expert Platform ”Adapter” Learning process RSCDF data Remote Service Platform History data Resource Agent

13. SmartResource: Project Proposal 13 of 21 P2P networking - highly scalable - 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

14. SmartResource: Project Proposal 14 of 21 Learning and test sample. Querying diagnostic results. Integrating services “Service” “Device” Labelled data Learning sample Test sample “Service” Diagnostic model w1w1w1w1 w2w2w2w2 w3w3w3w3 w4w4w4w4 w5w5w5w5 Evaluation and Result integration mechanism … Labelled 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.

15. SmartResource: Project Proposal 15 of 21 Integrating knowledge “Service” Diagnostic model …“Device” Labelled data “Device” “Device” …“Device” “Device” “Device” 1 n 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).

16. SmartResource: Project Proposal 16 of 21 CertificationCertification 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. 5 3 4 Certifying party Device Service 1 Service 2 Service 3 6 1 2 Own evaluations trust

17. SmartResource: Project Proposal 17 of 21 Development Stages Year 1:Resource Adapters to the RSCDF-based unification of resource data; 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:

18. SmartResource: Project Proposal 18 of 21 Project Results Service 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 Support for services that are able to learrn Unification of maintenance data Research Results: RSCDF RGBDF Proactive Resources P2P Maintenance Research Results: RSCDF RGBDF Proactive Resources P2P Maintenance Resource Agent

19. SmartResource: Project Proposal 19 of 21 New partners …are warmly welcome!

20. SmartResource: Project Proposal 20 of 21 Obtain More Information about SmartResource from: Head of SmartResource Industrial Consortium (Steering Committee Head) Dr. Jouni Pyötsiä, Metso Automation Oy. Jouni.Pyotsia@metso.comJouni.Pyotsia@metso.com, Tel.: 040-548-3544 SmartResource Contact Person Prof. Timo Tiihonen, Vice-Rector, University of Jyväskylä tiihonen@it.jyu.fitiihonen@it.jyu.fi, Tel.: 014-260-2741 SmartResource Project Leader Prof. Vagan Terziyan, Agora Center, University of Jyväskylä vagan@it.jyu.fivagan@it.jyu.fi, Tel.: 014-260-4618

21. SmartResource: Project Proposal 21 of 21 Obtain More Information about 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.ppthttp://www.cs.jyu.fi/ai/Madeira.ppt (in text: http://www.cs.jyu.fi/ai/Smart_Resource.doc )http://www.cs.jyu.fi/ai/Smart_Resource.doc Some relevant research papers of our group: http://www.cs.jyu.fi/ai/Mobile_Components.doc http://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/ai http://www.cs.jyu.fi/ai/OntoGroup