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. Content Introduction Project Essentials Project Potential and Future Market Relation to TEKES Programs Project Team Relation to InBCT TEKES Project (3.1.3.) Project Budget

3. SmartResource: Project Proposal 3 of 52 Semantic Web in Networked Business Environment 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.” 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

4. Project Essentials Project goal is to combine the emerging Semantic Web, Web Services, Peer-to- Peer 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

5. SmartResource: Project Proposal 5 of 52 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

6. SmartResource: Project Proposal 6 of 52 On-line learning Smart Maintenance Environment “Devices with on-line data” “Experts” Maintenance“Services”exchange data Maintenance data exchange

7. SmartResource: Project Proposal 7 of 52 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

8. SmartResource: Project Proposal 8 of 52 Adding agents to resources Making resource proactive Enabling communication with resource Implementation of agent-communication scenarios service learning remote diagnostics Project Objectives (Year 2) 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

9. SmartResource: Project Proposal 9 of 52 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 behavior Exchanging & integrating models of resource (maintenance) behavior Testing “on-the-field” using Real devices Existing diagnostic software as Web-services Experts Development of networked maintenance environment

10. SmartResource: Project Proposal 10 of 52 “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” “RSCDF 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

11. SmartResource: Project Proposal 11 of 52 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

12. SmartResource: Project Proposal 12 of 52 Learning and test sample. Querying diagnostic results. Integrating services “Service” Labelled data Learning sample Test sample “Service” Diagnostic model “Device” 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.

13. SmartResource: Project Proposal 13 of 52 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).

14. SmartResource: Project Proposal 14 of 52 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

15. SmartResource: Project Proposal 15 of 52 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:

16. SmartResource: Project Proposal 16 of 52 Project Results Service Interaction ”One device – many services” P2P environment that integrates devices, services, 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 service learning Unification of maintenance data Resource Proactivity: Resource Agent

17. Project Potential and Future Market Tekes Project Application, Submitted January 2004

18. SmartResource: Project Proposal 18 of 52 UniversalityUniversality We are heading to a development of comprehensive and universal frameworks for intelligent information management SmartResource project is one step in our advancement towards applications of our vision, approach and expertise in many other domains Semantic Web-based solutions enable to combine heterogeneous information, methods and resources together

19. SmartResource: Project Proposal 19 of 52 On-line learning Smart Maintenance Environment “Devices with on-line data” “Experts”Maintenance exchange data Maintenance data exchange “Services”

20. SmartResource: Project Proposal 20 of 52 On-line learning Smart Maintenance Environment Maintenance exchange data Maintenance data exchange “ ” “ Human / patient with embedded medical sensors ” “ Doctor/ Expert ” “Medical Web Services”

21. SmartResource: Project Proposal 21 of 52 On-line learning Smart Maintenance Environment Maintenance exchange data Maintenance data exchange “Web Services for environmental diagnostics and prediction ” “Experts in environmental monitoring ” “ ” “ Environment with sensors ”

22. SmartResource: Project Proposal 22 of 52 On-line learning Smart Maintenance Environment Maintenance exchange data Maintenance data exchange “ Staff/students ” “ Staff/students with monitored organizational data ” “Web Services in organizational diagnostics and management ” “ Manager / Expert ”

23. SmartResource: Project Proposal 23 of 52 Customers of the system Producers of the Field Devices Experts Providers of the diagnostic, maintenance, condition monitoring services, which want to make them available for customers through the net. Experts, which want to provide their experience and knowledge in domain of remote diagnostics, condition monitoring and maintenance of industrial devices. Producers of the Field Devices, which are interested to provide more effective product maintenance and remote diagnostic for their customers. Web Service and Application providers

24. SmartResource: Project Proposal 24 of 52 Smart Maintenance Environment User Expert Service- mediator Web Service Application Sensor Smart- Device Smart- System Manufacturer of industrial products IT Providers: applications, services, solutions

25. SmartResource: Project Proposal 25 of 52 Application domains: Telemedicine:Wellness “Service” “Service” “Human/ device ” Local Alarm System Human/ device Adapter “ Doctor/ Expert ” “Service” Symptom data Health Maintenance without barriers Anytime and Anywhere Anytime and Anywhere Health Maintenance “Doctor / Expert ”

26. SmartResource: Project Proposal 26 of 52 Application domains: Building Conditioning “Service” “Service” “Service” “ Expert ” “Expert” Automation of the Building Conditioning via a House Maintenance System, embedded sensor system of a house state, local house- condition alarm system, and global system for house remote diagnostics and predictive maintenance House systems sensors

27. Relation to TEKES Programs Tekes Project Application, Submitted January 2004

28. SmartResource: Project Proposal 28 of 52 Relation to TEKES programs SmartResource project is positioned out of particular TEKES program, because: It deals with basic and ”hottest” ICT technologies (Semantic Web, agents, web services, P2P...); It aims at development of expertise and ”killer” application for innovative universal solutions that contribute to competitiveness and know-how in the long run; Research results are potentially applicable in many other domains (beyond being studied in the industrial case).

29. SmartResource: Project Proposal 29 of 52 Relation to TEKES programs FENIX FENIX - Interactive Computing.  human as initiators and coordinators in resource maintenance  domain experts, operators as resources  human interaction with Semantic Web-based environment. Intelligent Automation Systems  prototype development of industrial system  proactivity of resources: Agent technology  integration of heterogeneous systems  Semantic Web + Web Services + P2P + Agents DENSY DENSY - Distributed energy systems technology program  SmartResource-environment is an excellent base for launching intelligent software, which implements various collaborative logics: knowledge share, management, etc. Drug 2000 Drug 2000 - biomedicine, drug development and pharmaceutical technology  We could suggest: “Ontology-Based Automated Maintenance of Globally Distributed Approved Medications and New Drags Lists”. Large amounts of various electronic resources (databases, documents, media, hypertexts) about drugs makes difficult their management and update. Making these resources active according to our concepts we automate their maintenance.

30. Project Team Tekes Project Application, Submitted January 2004

31. 31 of 52 Head:  Vagan Terziyan Contact Person (University of Jyväskylä):  Timo Tiihonen Researchers:  Oleksandr Kononenko  Andriy Zharko  Oleksiy Khriyenko  Olena Kaykova  … Consultant (Metso Automation):  Jouni Pyötsiä Our Team: “Industrial Ontologies” Group vagan@it.jyu.fi MIT Department, University of Jyväskylä “Industrial Ontologies” Group: http://www.cs.jyu.fi/ai/OntoGroup/

32. SmartResource: Project Proposal 32 of 52 Timo Tiihonen Project Contact Person Profile:  Mathematical Modeling and Simulation  Modeling and Control of Industrial Paper-Making Processes, Metal and Semiconductor Industries  Data Integration in Management and Administration Project Members Professor Timo Tiihonen who acts as the contact person has, as a professor of mathematical modeling and simulation, broad experience of modeling and control of industrial processes in paper making, metal and semiconductor industries. Currently he is actively integrating the data administration of the university as a vice-rector and exploiting the results of this project to management of diverse human resources. University of Jyväskylä Finland Vice-Rector, Professor, Ph.D. http://www.mit.jyu.fi/tiihonen/

33. SmartResource: Project Proposal 33 of 52 Project Members Vagan Terziyan Project Leader Profile:  Artificial Intelligence  Knowledge Management  Agent Technology  Semantic Web  Machine Learning  Data Mining… 1981Ms. Eng. (Applied mathematics) 1985Dr. Tech. (Cybernetics and IT) 1993Dr. (Habil) Tech. (IS and AI) 1996Professor (Software Engineering) 2001Docent, University of Jyvaskyla (AI and Knowledge Management) 2002-2004 Ass. Prof., Department of Mathematical Information Technology, Senior Researcher, Agora Center, University of Jyvaskyla, Visiting Prof., Free University of Amsterdam Kharkov National University of Radioelectronics Ukraine University of Jyväskylä Finland Head of AI Department, Professor, Dr. (Habil) Tech. Associate Professor, Senior Researcher (Agora Centre) http://www.cs.jyu.fi/ai/vagan/

34. SmartResource: Project Proposal 34 of 52 Olena Kaykova Researcher Profile:  Control Systems  Artificial Intelligence  Temporal Logic  Machine Learning  Integrated Models  International Relations  Management… Project Members Kharkov National University of Radioelectronics Ukraine University of Jyväskylä Finland Associate Professor, Dr. Tech. Senior Researcher (Agora Centre) http://www.cs.jyu.fi/ai/helen/ 1982Ms. Eng. (Control Systems) 1989Dr. Tech. (Cybernetics and IT) 1992Ass. Prof. (Software Engineering) … 2002-2003 Lecturer, Department of Mathematical Information Technology, University of Jyvaskyla 2004 Senior Researcher, Agora Center

35. SmartResource: Project Proposal 35 of 52 Project Members Oleksandr Kononenko Researcher-Developer Main Duties  Software design  RSCDF and RGBDF design/ Ontology development  Resource Adapter development  Project documentation 2002 – 2003 Degree student at MIT Department, University of Jyväskylä. His thesis “Ontological Support for Industrial Maintenance of Smart-Devices” gets laudatur grade, and he becomes M.Sc. in Information Technology 2004-present PhD student at the MIT Department, University of Jyväskylä “Human-Computer Interaction in Semantic Web” http://www.cc.jyu.fi/~olkonone/ Educational backgrounds and Expertise Kharkiv National University of Radioelectronics University of Jyväskylä Ukraine Finland Artificial Intelligence Mobile Computing Software Engineering Mathematics M.Eng. Major M.Eng. Minor Software design Web Services Formal, numerical, probabilistic, neuro, fuzzy, etc. modeling Mobile Services P2P Agent Technology Semantic Web Machine Learning M.Sc. Major M.Sc. Minor

36. SmartResource: Project Proposal 36 of 52 Oleksiy Khriyenko Researcher-Developer Main Duties:  Resource Agent development  Resource Adapter development  Software documentation Project Members 2002 – 2003 Degree student at MIT Department, University of Jyväskylä. He writes thesis “Distributed Mobile Web Services Based on Semantic Web” (laudatur grade), and becomes M.Sc. in Information Technology 2004-present PhD student at the MIT Department, University of Jyväskylä “Adaptive Semantic Web based Environment for Web Resources” http://www.cc.jyu.fi/~olkhriye/ Educational backgrounds and Expertise Kharkiv National University of Radioelectronics University of Jyväskylä Ukraine Finland Artificial Intelligence Mobile Computing Software Engineering Mathematics M.Eng. Major M.Eng. Minor Software design Web Services Formal, numerical, probabilistic, neuro, fuzzy, etc. modeling Mobile Services P2P Agent Technology Semantic Web Machine Learning M.Sc. Major M.Sc. Minor

37. SmartResource: Project Proposal 37 of 52 Project Members Andriy Zharko Researcher-Developer Duties:  Ontology development  P2P communication subsystem development  Web services development 2002 – 2003 Degree student at MIT Department, University of Jyväskylä. His thesis “Peer-to-Peer Ontological Discovery of Mobile Service Components in Semantic Web” wins department’s award, he is M.Sc. in Information Technology 2004-present PhD student at the MIT Department, University of Jyväskylä “Active Resources in Semantic Web” http://www.cc.jyu.fi/~anzharko/ Educational backgrounds and Expertise Kharkiv National University of Radioelectronics University of Jyväskylä Ukraine Finland Artificial Intelligence Mobile Computing Software Engineering Mathematics M.Eng. Majors M.Eng. Minors Software design Web Services Formal, numerical, probabilistic, neuro, fuzzy, etc. modeling Mobile Services P2P Agent Technology Semantic Web Machine Learning M.Sc. Major M.Sc. Minor

38. SmartResource: Project Proposal 38 of 52 Project Members Andriy Zharko Researcher-Developer Profile:  Semantic Web  P2P  Web Services 2002 – 2003 Degree student at MIT Department, University of Jyväskyla. Thesis “Peer-to-Peer Ontological Discovery of Mobile Service Components in Semantic Web” wins department’s award, he is M.Sc. in Information Technology 2004-present PhD student at the MIT Department, University of Jyväskylä “ Active Resources in Semantic Web ” Educational backgrounds and Expertise Kharkiv National University of Radioelectronics University of Jyväskylä Ukraine Finland Artificial Intelligence Mobile Computing Software Engineering Mathematics Majors Minors Software design Web Services Mobile Services P2P Agent Technology Semantic Web Machine Learning http://www.cc.jyu.fi/~anzharko/ At the moment, Andriy is at the IASTED-2004 (International Association of Science and Technology for Development) conferences (Innsbruck, Austria, 17-19 February, 2004), where he is presenting the research results of Industrial Ontologies Group:  Kaykova O., Kononenko O., Terziyan V., Zharko A., Formation Scenarios in OntoServ.Net – Global Network of Intelligent Industrial Maintenance Web Services, In: IASTED International Conference on Databases and Applications (DBA 2004).  Khriyenko O., Kononenko O., Terziyan V., OntoEnvironment: An Integration Infrastructure for Distributed Heterogeneous Resources, In: IASTED International Conference on Parallel and Distributed Computing and Networks (PDCN 2004).  Kaykova O., Khriyenko O., Zharko A., Visual Interface for Adaptation of Data Sources to Semantic Web, In: IASTED International Conference on Software Engineering (SE 2004).

39. SmartResource: Project Proposal 39 of 52 International Cooperation (1) Dynamics of agent behavior Multiagent systems’ design Prof. Catholijn Jonker Prof. Jan Treur Diagnostics of organizations Semantic Web Reasoning about diagnostic systems Ontology Learning Ontology Integration Prof. Frank Harmelen Borys Omelayenko

40. SmartResource: Project Proposal 40 of 52 International Cooperation (2) Neuro-Fuzzy Networks Machine Learning Dr. Oleksandra Vitko Prof. Yevgeniy Bodyanskiy Industrial Automation Bayesian Networks Data Mining and Knowledge Discovery Volodymyr Kushnaryov Kharkov National University of Radioelectronics Ukraine Industrial diagnostics, prediction and control Telemedicine Ontologies in Education Statistics Prof. Natalya Lesna

41. SmartResource: Project Proposal 41 of 52 Related European Research Initiatives (1) There are several going on EU funded projects, which are targeting various aspects of emerging Semantic Web. Among most strong consortiums and initiatives are: OntoWeb[1] network with more than 100 academic and industrial participants, which creates a technical roadmap of the next generation Web and provides guidelines to industrial and commercial applications;[1] SWAP[2] (Semantic Web and Peer-to-Peer)[2] provides a comprehensive study of the potential of Semantic Web and Peer-to-Peer for knowledge management and plan to provide an appropriate integrated software environment; SWWS[3] (Semantic Web Enabled Web Services)[3] researching for scalable mediation between different and heterogeneous services based on semantic-driven descriptions and business logic; [1][1] http://www.ontoweb.org [2][2] http://swap.semanticweb.org [3][3] http://swws.semanticweb.org

42. SmartResource: Project Proposal 42 of 52 Related European Research Initiatives (2) SEWASIE[4] (Semantic Web and Agents in Integrated Economies)[4] fights the problem of access to heterogeneous data sources on the Web; SCULPTEUR[5] (Semantic and Content-Based Multimedia Exploitation for European Benefit)[5] develops the technology to create, manipulate and manage cultural archives to make European cultural heritage accessible to all; MOSES[6] (Modular and Scalable Environment for the Semantic Web)[6] sets out to create scalable ontology based Knowledge Management System and ontology-based search engine that will accept queries and produce answers in natural language; … and many other projects [4][4] http://www.sewasie.org [5][5] http://www.sculpteurweb.org [6][6] http://www.hum.ku.dk/moses/

43. SmartResource: Project Proposal 43 of 52 Related Industrial Initiatives Among recent initiatives aimed at development of adoption of open information standards for operations and maintenance and implementation of interoperable cooperative industrial environments are:  MIMOSA [1] (Machinery Information Management Open System Alliance) The project consortium pretends to build an open, industry-built, robust Enterprise Application Integration and condition-based maintenance specifications.  PROTEUS[2], funded by industrial companies and led with a goal to develop a generic maintenance-oriented platform for industry.[2] These initiatives are very expensive, labor and resource consuming, and still does not attempt to apply and benefit from the Semantic Web technology. We believe, however, that without comprehensive metadata description framework, ontologies and open knowledge/semantics representation standards their results will be just next consortium-wide standards, rather than comprehensive, flexible and extensible framework. We will contribute with Semantic Web technology to industrial needs [[1] http://www.mimosa.org/] [2] http://www.proteus-iteaproject.com/

44. Semantic Facilitators for Web Information Retrieval InBCT Tekes PROJECT Chapter 3.1.3 : “Industrial Ontologies and Semantic Web” Current activities

45. SmartResource: Project Proposal 45 of 52 Pre-Project Activities (2003) Industrial Ontologies Group During 2003 Industrial Ontologies Group concentrated its point of research on Semantic Web technology applications and web-service based information management systems (particularly, in the field of maintenance of industrial devices), which can be considered as an important research input into the Project Among results are  Developed concepts: OntoServ.Net, GUN, OntoAdapter, OntoShell, Mobile Resource, …  about 20 research papers, including: publications in scientific journals and international conferences, on the topics related to this project project reports and presentation in InBCT Tekes project (section 3.1 - “Semantic Web and Industrial Ontologies” ), University of Jyväskylä, Agora Center 3 M.Sc. theses on the topics of industrial maintenance automation and Semantic Web Resources in 2003: 17 m/months * Detailed list of publications can be found at http://www.cs.jyu.fi/ai/OntoGroup/http://www.cs.jyu.fi/ai/OntoGroup/

46. SmartResource: Project Proposal 46 of 52 Semantic Facilitators for Web Information Retrieval (2004) Main Deliverables 1.Generic Semantic Search Facilitator concept, architecture and ideas for future utilization of semantic wrappers for non-semantic search systems 2.Implementation of Semantic Search Assistant for Google with semantic interface and domain ontology. Resources about 30 KEURO for 24 m/months InBCT Tekes PROJECT Chapter 3.1.3 : “Industrial Ontologies and Semantic Web” (year 2004)

47. SmartResource: Project Proposal 47 of 52 Semantic Search Enhancement : Common (linguistic) ontology Query : ( XXXXXXX XXX ) Domain ontology SemanticFiltering Result: Enabling the Semantic Search Semantic Search Assistant (Facilitator) uses ontologically (WordNet) defined knowledge about words and embedded support of advanced Google-search query features in order to construct more efficient queries from formal textual description of searched information. Semantic Search Assistant hides from users the complexity of query language of concrete search engine and performs routine actions that most of users do in order to achieve better performance and get more relevant results.

48. Project Budget Tekes Project Application, Submitted January 2004

49. Budget Y1Y2Y3Total Salaries 101564157402154938413904 Taxes 294534564644932120031 29% Expenses 602689340291940245610 46% Travels 9000130001800040000 Materials and supplies 17155501902455 Equipment 800000 TOTAL 210000310000 830000 EURO Among Project Members: 3 Senior Researchers, Dr.Tech. 3 Researcher-developers, PhD students, MIT Department, JYU 3 Researchers, Agora Center 3 Researcher-trainees, MIT Department, JYU 2 Visiting researchers Total person-years: 16,3

50. Budget (Year 1) Year Salaries 101564 Taxes 29453 Expenses 60268 Travels 9000 Materials and supplies 1715 Equipment 8000 TOTAL 210000 Person-months: 47 1Senior ResearcherTimo Tiihonen5300 x 1 =5 300 2Project LeaderVagan Terziyan3028 x 0,5 x 12 =18 168 3ResearcherHelen Kaykova2369 x 10 =23 685 4Researcher-DeveloperOleksandr Kononenko1814 x 10 =18 137 5Researcher-DeveloperOleksiy Khriyenko1814 x 10 =18 137 6Researcher-DeveloperAndriy Zharko1814 x 10 =18 137

51. Project Management Board  Veikko Hara, Dr.Tech., Senior Vice President, TeliaSonera (Head of Project Management Board)  Jouni Pyötsiä, Dr.Tech., Metso Automation  Jukka Valkonen, Director, Digital Business Development, TietoEnator  Jutta Nyblom, Paper ICT Expert, Jyväskylä Science Park  Marko Heikkinen, Tekes/Helsinki  Vagan Terziyan, Dr.Tech., Project Leader, Senior Researcher, University of Jyväskylä  Timo Tiihonen, Prof, Project Contact person, Vice-Rector, University of Jyväskylä  Pekka Neittaanmäki, Prof., Head of Agora Center, University of Jyväskylä

52. SmartResource: Project Proposal 52 of 52 Industrial Partners and resources in 2004 TeliaSonera20 000 EURO TietoEnator10 000 Jyväskylä Science Park10 000 Jyväskylä University10 000 Metso Automation10 000 (own work) Applied from Tekes160 000 210 000Total (2004)210 000