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Industrial Ontologies Group
Activities of Distributed Activities of Distributed Systems Research GroupSystems Research Group
““Device”Device”
““Expert”Expert”
““Service”Service”
Resource Resource AgentAgent
Resource Resource AgentAgent
Resource Resource AgentAgent
PIGB
SC
Vagan Terziyan
Distributed Systems Group in JyvaskylaDistributed Systems Group in JyvaskylaDistributed Systems Group in JyvaskylaDistributed Systems Group in Jyvaskyla
Peer-to-PeerResearch Group
Prof. Jarkko Vuori
Industrial Ontologies Group
Prof. Vagan Terziyan
Distributed SystemsResearch Group (united)
P2P, MP2P resource discovery in dynamic and static networks, with static and dynamic routing strategies, with cooperative and self-interested nodes, with parametrical and structural self-configurability (topology management), with embedded intelligence and learning abilities, etc.
Semantic and agent technologies in distributed systems (see next slide)
Industrial Ontologies GroupIndustrial Ontologies GroupIndustrial Ontologies GroupIndustrial Ontologies Group
Industrial Ontologies Grouphttp://www.cs.jyu.fi/ai/OntoGroup/
Semantic WebSemantic Web and Ontologies and Ontologies
Web Services and Semantic Web ServicesWeb Services and Semantic Web Services
(Multi) Agent Technologies(Multi) Agent Technologies
Distributed Artificial IntelligenceDistributed Artificial Intelligence
Knowledge ManagementKnowledge Management
Mobile Context-Aware Services and ApplicationsMobile Context-Aware Services and Applications
Machine LearningMachine Learning
Data Mining and Knowledge DiscoveryData Mining and Knowledge Discovery
GGROUP ROUP PPROFILEROFILE::
The main objective of the group is to contribute to fast adoption of Semantic Web and related technologies to local and global industries. It includes research and development aimed to design a Global Understanding Environment as next generation of Web-based platforms by making heterogeneous industrial resources (files, documents, services, devices, business processes, systems, organizations, human experts, etc.) web-accessible, proactive and cooperative in a sense that they will be able to automatically plan own behavior, monitor and correct own state, communicate and negotiate among themselves depending on their role in a business process, utilize remote experts, Web-services, software agents and various Web applications.
IOG cooperates with different units of Jyvaskyla IOG cooperates with different units of Jyvaskyla University and leads the activities in the domain University and leads the activities in the domain
“Industrial Applications of Semantic Web” in Finland“Industrial Applications of Semantic Web” in Finland
IOG cooperates with different units of Jyvaskyla IOG cooperates with different units of Jyvaskyla University and leads the activities in the domain University and leads the activities in the domain
“Industrial Applications of Semantic Web” in Finland“Industrial Applications of Semantic Web” in Finland
MITMIT Department Department
TITUTITU
Agora CenterAgora Center
Adaptive Services GridAdaptive Services GridIntegrated Project supported Integrated Project supported by the European Commissionby the European Commission
Anton NaumenkoAnton Naumenko Sergiy NikitinSergiy Nikitin
Proactive Self-Maintained Proactive Self-Maintained Resources in Semantic WebResources in Semantic Web
SmartResource:SmartResource:
TEKES TEKES project:
”” Industrial Applications of Industrial Applications of Semantic Web”Semantic Web”
International IFIP Conference onInternational IFIP Conference on
PhD thesesPhD theses Andriy ZharkoAndriy Zharko Oleksiy KhriyenkoOleksiy Khriyenko Anton NaumenkoAnton Naumenko Sergiy NikitinSergiy Nikitin Dmytro ZhovtobrukhDmytro Zhovtobrukh Natalya KohvakkoNatalya KohvakkoCourses:Courses:
Semantic Web and Web ServicesSemantic Web and Web Services Agent Technologies in Mobile Agent Technologies in Mobile EnvironmentEnvironment
InBCT InBCT project:Semantic Search FacilitatorSemantic Search Facilitator
””Semantic Semantic GoogleGoogle””
""IdeaMentoring:IdeaMentoring: Refining research ideas to Refining research ideas to the new business opportunities"the new business opportunities"
Nokia Nokia projects:
""IdeaMentoring IIIdeaMentoring II " "
Two alternative trends of Web developmentTwo alternative trends of Web developmentTwo alternative trends of Web developmentTwo alternative trends of Web development
Human Communities
Machines, devices,
software, etc
Facilitates Human-to-Human
interaction
Facilitates Machine-to-Machine interaction
GUN ConceptGUN ConceptGUN ConceptGUN Concept
GUN – Global Understanding eNvironment
GUN=
Global Environment+
Global Understanding =
Proactive Self-Managed Semantic Web of Things
= (we believe) =“Killer Application” for
Semantic Web Technology
GUN MotivationGUN MotivationGUN MotivationGUN Motivation
• Growing complexity of computer systems and networks used in industry need for new approaches to manage and control them
• IBM vision: Autonomic computing – Self-Management (includes self-configuration, self-optimization, self-protection, self-healing)
• Ubiquitous computing, “Internet of Things” huge numbers of heterogeneous devices are interconnected • “nightmare of pervasive computing” when almost
impossible to centrally manage the complexity of interactions, neither even to anticipate and design it.
• We believe that self-manageability of a complex system requires its components to be autonomous themselves, i.e. be realised as agents.
• Agent-based approach to SE is also considered to be facilitating the design of complex systems
GUN and Ubiquitous SocietyGUN and Ubiquitous SocietyGUN and Ubiquitous SocietyGUN and Ubiquitous Society
Human-to-Human
Human-to-Machine
Machine-to-Human
Machine-to-Machine
Agent-to-Agent
GUN can be considered as a kind of Ubiquitous Eco-System for Ubiquitous Society – the world in which people and other intelligent entities (ubiquitous devices, agents, etc) “live” together and have equal opportunities (specified by policies) in mutual understanding, mutual service provisioning and mutual usability.
GUN-GERI-UBIWARE-SmartResource ?GUN-GERI-UBIWARE-SmartResource ?GUN-GERI-UBIWARE-SmartResource ?GUN-GERI-UBIWARE-SmartResource ?
GUN (Global Understanding Environment) – Proactive Self-Managed Semantic Web of Things - general concept and final destination
GERI (Global Enterprise Resource Integration) – GUN subset related to industrial domains
UBIWARE – middleware for GERI
SmartResource – semantic technology, pilot tools and standards for UBIWARE
Core DAI platform
Adaptation and personalization
Proactivity and
behavior
Coordination and
networking
Autonomicity, self-management, self-configurability
Metadata, semantics, ontologies
Security and trust
Human-centricity, GUI, Web 2.0, Wiki
Industrial cases implementation
Intelligence, learning,
reasoning, planning
…
The Roadmap towards GUNThe Roadmap towards GUNThe Roadmap towards GUNThe Roadmap towards GUNQualitative transitions
WIDER OBJECTIVEWIDER OBJECTIVEWIDER OBJECTIVEWIDER OBJECTIVE
- to combine the emerging Semantic Web, Web Services, Peer-to-Peer, Machine Learning, Ubiquitous Intelligence and Agent technologies for the development of a global GUN-based EAI Platform and smart e-maintenance environment, to provide Web-based support for the predictive maintenance of industrial devices by utilizing heterogeneous and interoperable Web resources, services and human experts
Project results in the Web: http://www.cs.jyu.fi/ai/OntoGroup/SmartResource_details.htm
SC
Challenge 1: General Adaptation FrameworkChallenge 1: General Adaptation FrameworkChallenge 1: General Adaptation FrameworkChallenge 1: General Adaptation Framework
Universal reusable semantically-configurable
adapters
GB
Challenge 2: General Proactivity FrameworkChallenge 2: General Proactivity FrameworkChallenge 2: General Proactivity FrameworkChallenge 2: General Proactivity Framework
Role “Feeder” descriptio
n
Role “Feeder” descriptio
n
Role “SCADA” descriptio
n
Role “SCADA” descriptio
n
Role “Maintenanc
e worker” description
Role “Maintenanc
e worker” description Universal reusable
semantically-configurable behaviors
PI
Challenge 3: General Networking FrameworkChallenge 3: General Networking FrameworkChallenge 3: General Networking FrameworkChallenge 3: General Networking Framework
Scenario “Predictive
maintenance”description
Scenario “Predictive
maintenance”description
Universal reusable semantically-configurable
scenarios for business processes
Scenario “Data
integration”description
Scenario “Data
integration”description
SmartResource project summarySmartResource project summarySmartResource project summarySmartResource project summary
• SmartResource Tekes project (2004-2006): http://www.cs.jyu.fi/ai/OntoGroup/projects.htm .
• One of the most essential results of the SmartResource project was creation of the “Smart Resource Technology” for designing complex software systems.
• The technology benefits from considering each traditional system component as a “smart resource”, i.e. proactive, agent-driven, self-managing.
What is next?What is next?
UBIWARE:UBIWARE: “Smart Semantic Middleware “Smart Semantic Middleware for Ubiquitous Computing”for Ubiquitous Computing”
UBIWARE:UBIWARE: “Smart Semantic Middleware “Smart Semantic Middleware for Ubiquitous Computing”for Ubiquitous Computing”
• Submitted to Tekes (final update 27 February);• In the Web: http://www.cs.jyu.fi/ai/Application_UBIWARE_2007.doc http://www.cs.jyu.fi/ai/Application_UBIWARE.ppt
• Starts if accepted: 1 May 2007;• Summary:
UBIWARE project will be build on the foundation laid in the SmartResource project. SmartResource analyzed the central concepts related to our GUN vision, and resulted in some pilot tools and solutions. In turn, UBIWARE will result in a complete and self-sufficient middleware platform. In addition to treating the central issues related to flexible semantic agent-based integration and coordination of heterogeneous components, it will develop appropriate solutions in supporting but mandatory areas such as security, human interfaces and other.
• Partners: IOG (AC, UJ), ABB, Fingrid, Hansa Ecura, Inno-W, Metso
Automation, Metso Shared Services, TeliaSonera
GERI:GERI: “Global Resource Integration “Global Resource Integration in a Networked Enterprise” in a Networked Enterprise”
GERI:GERI: “Global Resource Integration “Global Resource Integration in a Networked Enterprise” in a Networked Enterprise”
• EU FP7 STREP proposal for the objective ICT-2007-1.3: “ICT in support of the networked enterprise” ;
• Deadline for submission: 8 May 2007;• Summary:
The traditional concept of Enterprise Application Integration (EAI) must now be extended towards Global Enterprise Resource Integration (GERI) that aims at effective and seamless integration of all different types of resources found in an enterprise: digital, physical, and human. Project intends: to develop architecture for seamless integration of information resources (e.g. software applications, web services) with sensor and RFID devices based on the agents technology leading to a more homogeneous environment; to develop tools and methodology for development of distributed systems through integration and reuse of existing heterogeneous components (software or devices), through declarative integration, where the components and their interaction are defined and configured declaratively (semantically) rather than programmatically; to elaborate business models of inter-enterprise collaboration through GERI-based environments; to analyze application of the GERI approach in Distribution Automation business integration scenarios.
• Partners: IOG, Tel Aviv University, Free University of Amsterdam, several SMEs
SWIMMER:SWIMMER: Semantic emantic Web eb Integrator ntegrator for for Maintenance aintenance Management of anagement of Enterprise nterprise Resourcesesources
SWIMMER project (started at December 2006) appeared as a result of cooperation of Industrial Ontologies Group and Metso Automation in SmartResource project. Upon successful completion of SmartResource development activities, Metso Automation has decided to privately fund a separate project to research and develop a solution for integration of enterprise maintenance data in paper industry.
SWIMMER
The main project objectives are: to collect online maintenance data from several predefined data sources and store it in a semantic form; to build tools, which ease the enrichment of the data based on operation of several distributed applications; mining collected data and infer an implicit knowledge, which may be of interest to users.
Portal for SCOMA Web CommunityPortal for SCOMA Web CommunityPortal for SCOMA Web CommunityPortal for SCOMA Web Community
UBIMATH:UBIMATH: Network of Mathematical Network of Mathematical Models in Ubiquitous EnvironmentsModels in Ubiquitous EnvironmentsUBIMATH:UBIMATH: Network of Mathematical Network of Mathematical Models in Ubiquitous EnvironmentsModels in Ubiquitous Environments
SMONT:SMONT: Ontologies as Smart ResourcesOntologies as Smart ResourcesSMONT:SMONT: Ontologies as Smart ResourcesOntologies as Smart Resources
WIKI-Pro:WIKI-Pro: Wikis as Smart ResourcesWikis as Smart ResourcesWIKI-Pro:WIKI-Pro: Wikis as Smart ResourcesWikis as Smart Resources
MIT Data Center – IOG CooperationMIT Data Center – IOG CooperationMIT Data Center – IOG CooperationMIT Data Center – IOG Cooperation
• We will cooperate on study "M-Language vs. OWL/RDF" from various angles: (a) M-Language as complementary to OWL/RDF
(where RDF considered as such and also as extended to RscDF, RgbDF, RpiDF);
(b) OWL/RDF as complementary to M-Language; (c) semantic adapter M-Language - OWL/RDF; (d) semantic adapter OWL/RDF - M-Language; (e) M-Language + OWL/RDF = towards Global RFID; (f) M-Language +OWL/RDF+ Mathematical Models +
UBIWARE = Semantic Web of Things .
David L. Brock Founder and Director,The Data Center Principal Research Scientist, [email protected]
Edmund W. SchusterCo-director,The Data Center Principal Research Scientist, [email protected]
Berkeley- IOG CooperationBerkeley- IOG CooperationBerkeley- IOG CooperationBerkeley- IOG Cooperation
• User modeling of activity integrating various sensing (e.g. microphones, GPS, occupancy sensors, etc.) and building applications on top.
Professor John Canny,
Berkeley Institute of Design,
University Berkeley, California
Aachen - IOG CooperationAachen - IOG CooperationAachen - IOG CooperationAachen - IOG Cooperation
• Security of mobile service provisioning• Resource discovery in mobile P2P networks
Professor Matthias Jarke,
Information Systems Group,
RWTH Aachen University, Germany
Cooperation with Technion, IsraelCooperation with Technion, IsraelCooperation with Technion, IsraelCooperation with Technion, Israel
• Reliability and risk analysis, system survivability enhancement, reliability engineering, reliability optimization, optimal defense strategy against intentional attacks
Professor Gregory Levitin,
Faculty of Industrial Engineering & Management,
Technion - Israel Institute of Technology
Engineer-Expert. Reliability & Equipment Department. R&D Division.The Israel Electric Corporation Ltd
Cooperation with Free University Cooperation with Free University of Amsterdamof Amsterdam
Cooperation with Free University Cooperation with Free University of Amsterdamof Amsterdam
Dynamics of agent behaviorDynamics of agent behavior
Multiagent systems’ designMultiagent systems’ design
Prof. Jan TreurProf. Jan Treur
Diagnostics of organizationsDiagnostics of organizations
Semantic WebSemantic Web
Reasoning about diagnostic systemsReasoning about diagnostic systems
Ontology LearningOntology Learning
Ontology IntegrationOntology Integration
Prof. Frank HarmelenProf. Frank Harmelen
Dr. Borys OmelayenkoDr. Borys Omelayenko
Cooperation with Kharkov National Cooperation with Kharkov National University of Radioelectronics University of Radioelectronics
Cooperation with Kharkov National Cooperation with Kharkov National University of Radioelectronics University of Radioelectronics
Neuro-Fuzzy NetworksNeuro-Fuzzy Networks
Machine LearningMachine Learning
Dr. Oleksandra VitkoDr. Oleksandra Vitko
Prof. Yevgeniy BodyanskiyProf. Yevgeniy Bodyanskiy
Industrial AutomationIndustrial Automation
Bayesian NetworksBayesian Networks
Data Mining and Knowledge Discovery
Data Mining and Knowledge Discovery
Volodymyr KushnaryovVolodymyr Kushnaryov
Kharkov National University of RadioelectronicsKharkov National University of RadioelectronicsUkraineUkraine
Industrial diagnostics, prediction and control
Industrial diagnostics, prediction and control
TelemedicineTelemedicine
Ontologies in EducationOntologies in Education
StatisticsStatistics
Prof. Natalya LesnaProf. Natalya Lesna
Cooperation with ITIN, FranceCooperation with ITIN, FranceCooperation with ITIN, FranceCooperation with ITIN, France
Prof. Alain GourdinManaging DirectorITIN, IT-InstituteCergy-Pontoise cedexFrancewww.itin.fr
• Integrating of Semantic Web and Agent Technologies with Telecommunications and Mobile Computing and its utilization in Business and Education
