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SmartResource: Proactive Self-Maintained Resources in Semantic Web TEKES Project proposal Vagan Terziyan, Project Leader Industrial Ontologies Group Agora Center, University of Jyväskylä 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 Semantic Web in Networked Business Environment 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 will bring all benefits of the knowledge management, delivering value-added services and integration of businesses “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.” 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 SmartResource: Project Proposal 3 of 55 Project Essentials Project goal is to combine the emerging Semantic Web, Web Services, Peer-toPeer and Agent technologies for the development of a global and smart maintenance management environment, to provide Webbased 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 Industrial 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 SmartResource: Project Proposal 5 of 55 Smart Maintenance Environment “Experts” “Devices with on-line data” “Services” SmartResource: Project Proposal 6 of 55 Project Objectives (Year 1) Define Semantic Web-based framework for unification of maintenance data and interoperability in maintenance system Research and Development: • Resource State/Condition Description Framework (RSCDF) based on Semantic Web and extension of RDF (Resource Description Framework) “Expert” • RSCDF adapters (wrappers) for devices, services and experts: - browsable devices - application-expert interface - RSCDF-enabled services SmartResource: Project Proposal “Device” RSCDF “Service” 8 of 55 Project Objectives (Year 2) Development of agent-based resource management framework and enabling meaningful resource interaction • Adding agents to resources • • “Expert” Making resource proactive Enabling communication with resource Resource Agent ”Adapter” “Service” “Device” Smart Maintenance Environment • Implementation of agent-communication scenarios • • service learning remote diagnostics “Expert” “Device” Remote diagnostics Expert ~ Service “Service” Service learning and remote diagnostics SmartResource: Project Proposal 9 of 55 Project Objectives (Year 3) Development of networked maintenance environment • Development of P2P agent-communication system • • • • Research of the Resource Goal/Behavior Description Framework • • • Resource Discovery Maintenance Data & Knowledge Integration Certification and credibility assessment of services 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 SmartResource: Project Proposal 10 of 55 Maintenance Networking Environment “Expert” Network “Device” Network Labelled data Resource “Expert” Agent History data Labelled data RSCDF data Resource Agent “Device” “Embedded Sensor data Alarm Service” results ”Adapter” RSCDF data ”Adapter” User interface Remote Expert Platform Labelled “RSCDF Sensor data ”Adapter” RSCDF Alarm Service” data “Service” Resource Agent Local (Embedded) Platform Diagnostic model “Service” Network RSCDF data ”Adapter” Learning process Remote Service Platform SmartResource: Project Proposal 11 of 55 P2P networking - network of hubs - highly scalable - fault-tolerable - supports dynamic changes of network structure Why to interact? 1. 2. 3. 4. 5. - does not need administration Resource summarizes “opinions” from multiple services; Services “learns” from multiple teachers; One service for multiple similar clients; Resources exchange lists of services; Services exchange lists of clients. SmartResource: Project Proposal 12 of 55 Integrating services Evaluation and Result integration mechanism w1 w2 “Device” 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. w5 w3 w4 Labelled data Learning sample Test sample “Service” “Service” Diagnostic model … Diagnostic model SmartResource: Project Proposal 13 of 55 Integrating knowledge “Service” 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) . Device-specific diagnostic model Diagnostic model 1 … n Device Class-specific diagnostic model “Device” Labelled data “Device” Labelled data “Device” Labelled data SmartResource: Project Proposal Diagnostic model “Device” “Device” “Device” … Labelled data Labelled data Labelled data 14 of 55 Certification 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. Service 1 Service 2 Service 3 5 3 4 Device 1 2 Certifying party SmartResource: Project Proposal 6 Own evaluations 15 of 55 Development Stages Project will produce 3 versions of prototype software by implementing the following components and functionality: 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 SmartResource: Project Proposal 16 of 55 Project Results P2P environment that integrates devices, services, human experts and supports: Adaptation of resources (devices, services, experts) to the Environment Unification of maintenance data Discovery of necessary network components using their profiles Support for service learning Resource Proactivity: Service Interaction ”One service – many devices” Resource Agent Interaction ”One device – many services” SmartResource: Project Proposal 17 of 55 Project Potential and Future Market Tekes Project Application, Submitted January 2004 Universality • 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 SmartResource: Project Proposal 19 of 55 Smart Maintenance Environment “Experts in““environmental Manager /Expert “Experts” Doctor/ Expert ” ” monitoring” “Staff/students with with “Environment Human /patient with monitored ““Devices embedded medical on-line data” organizational with sensors ” data” sensors ” Web “Web Services“Medical in“Services” Services” “Web Services for environmental organizational diagnostics and management diagnostics and prediction”” SmartResource: Project Proposal 20 of 55 Customers of the system Experts, which want to provide their experience and knowledge in domain of remote diagnostics, condition monitoring and maintenance of industrial devices. Experts Producers of the Field Devices Producers of the Field Devices, which are interested to provide more effective product maintenance and remote diagnostic for their customers. SmartResource: Project Proposal Web Service and Application providers Providers of the diagnostic, maintenance, condition monitoring services, which want to make them available for customers through the net. 21 of 55 Smart Maintenance Environment IT Providers: Manufacturer of applications, services, solutions industrial products User Sensor Expert Servicemediator Web Service SmartDevice SmartSystem Application Smart Maintenance Environment SmartResource: Project Proposal 22 of 55 Application domains: Telemedicine:Wellness Health Maintenance without barriers Anytime and Anywhere “Doctor/Expert” “Doctor/Expert” “Human/device” “Service” “Service” Symptom data “Service” Local Alarm System Human/device Adapter SmartResource: Project Proposal 23 of 55 Application domains: Building Conditioning Automation of the Building Conditioning via a House Maintenance System, “Service” “Service” “Service” “Expert” “Expert” “Expert” embedded sensor system of a house state, local housecondition alarm system, and global system for house remote diagnostics and predictive maintenance House systems sensors SmartResource: Project Proposal 24 of 55 Relation to TEKES Programs Tekes Project Application, Submitted January 2004 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). SmartResource: Project Proposal 26 of 55 Relation to TEKES programs 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 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 - 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. SmartResource: Project Proposal 27 of 55 Project Team Tekes Project Application, Submitted January 2004 Our Team: “Industrial Ontologies” Group • • • Head: Vagan Terziyan Contact Person (University of Jyväskylä): Timo Tiihonen Researchers: Oleksandr Kononenko Andriy Zharko Oleksiy Khriyenko Olena Kaykova • [email protected] MIT Department, University of Jyväskylä … Consultant (Metso Automation): Jouni Pyötsiä “Industrial Ontologies” Group: http://www.cs.jyu.fi/ai/OntoGroup/ 29 of 55 Project Members 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 University of Jyväskylä Finland • Vice-Rector, Professor, Ph.D. 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. http://www.mit.jyu.fi/tiihonen/ SmartResource: Project Proposal 30 of 55 Project Members Vagan Terziyan Kharkov National University of Radioelectronics Ukraine • Head of AI Department, Professor, Dr. (Habil) Tech. • Project Leader University of Jyväskylä Finland • Associate Professor, Senior Researcher (Agora Centre) • Profile: Artificial Intelligence Knowledge Management Agent Technology Semantic Web Machine Learning Data Mining… http://www.cs.jyu.fi/ai/vagan/ SmartResource: Project Proposal 1981 Ms. Eng. (Applied mathematics) 1985 Dr. Tech. (Cybernetics and IT) 1993 Dr. (Habil) Tech. (IS and AI) 1996 Professor (Software Engineering) 2001 Docent, 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 31 of 55 Project Members Olena Kaykova Kharkov National University of Radioelectronics Ukraine • Associate Professor, Dr. Tech. • Researcher • Senior Researcher (Agora Centre) • Profile: Control Systems Artificial Intelligence Temporal Logic Machine Learning Integrated Models International Relations Management… University of Jyväskylä Finland 1982 Ms. Eng. (Control Systems) 1989 Dr. Tech. (Cybernetics and IT) 1992 Ass. Prof. (Software Engineering) … 2002-2003 Lecturer, Department of Mathematical Information Technology, University of Jyvaskyla 2004 Senior Researcher, Agora Center http://www.cs.jyu.fi/ai/helen/ SmartResource: Project Proposal 32 of 55 Project Members Ukraine Kharkiv National University of Radioelectronics Oleksandr Kononenko • Researcher-Developer University of Jyväskylä Educational backgrounds and Expertise Agent Technology Semantic Web Machine Learning • Main Duties Software design RSCDF and RGBDF design/ Ontology development Resource Adapter development Project documentation http://www.cc.jyu.fi/~olkonone/ SmartResource: Project Proposal Finland Mobile Services P2P M.Eng. Major Artificial Intelligence Mobile Computing M.Sc. Major M.Eng. Minor Software Engineering Mathematics M.Sc. Minor Software design Web Services Formal, numerical, probabilistic, neuro, fuzzy, etc. modeling 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” 33 of 55 Project Members Ukraine Kharkiv National University of Radioelectronics Oleksiy Khriyenko • Researcher-Developer University of Jyväskylä Educational backgrounds and Expertise Agent Technology Semantic Web Machine Learning • Main Duties: Resource Agent development Resource Adapter development Software documentation http://www.cc.jyu.fi/~olkhriye/ SmartResource: Project Proposal Finland Mobile Services P2P M.Eng. Major Artificial Intelligence Mobile Computing M.Sc. Major M.Eng. Minor Software Engineering Mathematics M.Sc. Minor Software design Web Services Formal, numerical, probabilistic, neuro, fuzzy, etc. modeling 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” 34 of 55 Project Members Ukraine Kharkiv National University of Radioelectronics Andriy Zharko • Researcher-Developer University of Jyväskylä Educational backgrounds and Expertise Agent Technology Semantic Web Machine Learning • Duties: Ontology development P2P communication subsystem development Web services development http://www.cc.jyu.fi/~anzharko/ SmartResource: Project Proposal Finland Mobile Services P2P M.Eng. Majors Artificial Intelligence Mobile Computing M.Sc. Major M.Eng. Minors Software Engineering Mathematics M.Sc. Minor Software design Web Services Formal, numerical, probabilistic, neuro, fuzzy, etc. modeling 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” 35 of 55 Project Members Ukraine Kharkiv National University of Radioelectronics Andriy Zharko • Researcher-Developer Finland University of Jyväskylä Educational backgrounds and Expertise Agent Technology Semantic Web Machine Learning Mobile Services At the moment, Andriy is at the P2P IASTED-2004 (International Association of Science and Technology for Development) conferences (Innsbruck, Austria, 17-19 February, 2004), he is Artificial whereMobile Majors Intelligence Computing presenting the research results of Industrial Ontologies Group: Software Kaykova O., Kononenko O., Terziyan V., Zharko A., Formation Scenarios in OntoServ.Net – Mathematics Minors Engineering Global Network of Intelligent Industrial Maintenance Web Services, In: IASTED International Conference on Databases and Applications (DBA 2004). • Profile: Software design Web Services Semantic Web O., Terziyan V., OntoEnvironment: An Integration Infrastructure for Distributed Khriyenko O., Kononenko Heterogeneous Resources, In: IASTED International Conference on Parallel and Distributed Computing Networks P2P (PDCN 2004). and 2002 – 2003 Degree student at MIT Department, University of Jyväskyla. Thesis Web Services Kaykova O., Khriyenko O., Zharko A., Visual InterfaceOntological for Adaptation of Data Sources toComponents Semantic Web , “Peer-to-Peer Discovery of Mobile Service in Semantic Web” In: IASTED International Conference on Software Engineering (SE 2004). wins department’s award, he is M.Sc. in Information Technology http://www.cc.jyu.fi/~anzharko/ SmartResource: Project Proposal 2004-present PhD student at the MIT Department, University of Jyväskylä “Active Resources in Semantic Web” 36 of 55 International Cooperation (1) Prof. Frank Harmelen Prof. Catholijn Jonker Dynamics of agent behavior Reasoning about diagnostic systems Multiagent systems’ design Diagnostics of organizations Prof. Jan Treur Semantic Web Ontology Learning Ontology Integration Borys Omelayenko SmartResource: Project Proposal 37 of 55 International Cooperation (2) Volodymyr Kushnaryov Prof. Yevgeniy Bodyanskiy Neuro-Fuzzy Networks Industrial Automation Industrial diagnostics, prediction and control Machine Learning Telemedicine Kharkov National University of Radioelectronics Ukraine Data Mining and Knowledge Discovery Ontologies in Education Bayesian Networks Dr. Oleksandra Vitko SmartResource: Project Proposal Statistics Prof. Natalya Lesna 38 of 55 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; • SWAP[2] (Semantic Web and Peer-to-Peer) 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) researching for scalable mediation between different and heterogeneous services based on semantic-driven descriptions and business logic; [1] http://www.ontoweb.org [2] http://swap.semanticweb.org [3] http://swws.semanticweb.org SmartResource: Project Proposal 39 of 55 Related European Research Initiatives (2) • SEWASIE[4] (Semantic Web and Agents in Integrated Economies) fights the problem of access to heterogeneous data sources on the Web; • SCULPTEUR[5] (Semantic and Content-Based Multimedia Exploitation for European Benefit) 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) 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] http://www.sewasie.org [5] http://www.sculpteurweb.org [6] http://www.hum.ku.dk/moses/ SmartResource: Project Proposal 40 of 55 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. 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/ SmartResource: Project Proposal 41 of 55 Semantic Facilitators for Web Information Retrieval InBCT Tekes PROJECT Chapter 3.1.3 : “Industrial Ontologies and Semantic Web” Pre-Project Activities (2003) 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/ SmartResource: Project Proposal 43 of 55 Semantic Facilitators for Web Information Retrieval (2004) InBCT Tekes PROJECT Chapter 3.1.3 : “Industrial Ontologies and Semantic Web” (year 2004) Main Deliverables 1. 2. Generic Semantic Search Facilitator concept, architecture and ideas for future utilization of semantic wrappers for non-semantic search systems Implementation of Semantic Search Assistant for Google with semantic interface and domain ontology. Resources about 30 KEURO for SmartResource: Project Proposal 24 m/months 44 of 55 Enabling the Semantic Search Semantic Search Enhancement : Common (linguistic) ontology Domain ontology Query : X X X X X X (X X X) 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. X Result: SemanticFiltering SmartResource: Project Proposal 45 of 55 Project Budget Tekes Project Application, Submitted January 2004 Budget Y1 Salaries Y2 Y3 Total 101564 157402 154938 413904 Taxes 29453 45646 44932 120031 29% Expenses 60268 93402 91940 245610 46% Travels 9000 13000 18000 40000 Materials and supplies 1715 550 190 2455 Equipment 8000 0 0 8000 210000 310000 310000 830000 TOTAL 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 EURO Budget (Year 1) Year Salaries 1 Senior Researcher Timo Tiihonen 5300 x 1 = 5 300 2 Project Leader Vagan Terziyan 3028 x 0,5 x 12 = 18 168 3 Researcher Helen Kaykova 2369 x 10 = 23 685 4 Researcher-Developer Oleksandr Kononenko 1814 x 10 = 18 137 5 Researcher-Developer Oleksiy Khriyenko 1814 x 10 = 18 137 6 Researcher-Developer Andriy Zharko 1814 x 10 = 101564 18 137 Taxes 29453 Expenses 60268 Travels 9000 Materials and supplies 1715 Equipment 8000 TOTAL Person-months: 47 210000 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 Industrial Partners and resources in 2004 • • • • • • • TeliaSonera TietoEnator Jyväskylä Science Park Jyväskylä University Metso Automation Applied from Tekes Total (2004) SmartResource: Project Proposal 20 000 EURO 10 000 10 000 10 000 10 000 (own work) 160 000 210 000 50 of 55