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Industrial Ontologies Group Industrial Ontologies Industrial Ontologies Group Group brief introduction brief introduction Vagan Terziyan vagan.terziyan@jyu .fi Device” Device”

Industrial Ontologies Group brief introduction

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“Device”. Industrial Ontologies Group. Industrial Ontologies Group brief introduction. Vagan Terziyan. [email protected]. Industrial Ontologies Group. University of Jyväskylä. Kharkov National University of Radioelectronics. Researchers Vagan Terziyan (Head) Olena Kaykova - PowerPoint PPT Presentation

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Page 1: Industrial Ontologies Group brief introduction

Industrial Ontologies Group

Industrial Ontologies GroupIndustrial Ontologies Group brief introductionbrief introduction

Vagan [email protected]

““Device”Device”

Page 2: Industrial Ontologies Group brief introduction

• Researchers Vagan Terziyan (Head) Olena Kaykova Oleksiy Khriyenko Sergiy Nikitin Michal Nagy

Industrial Ontologies GroupIndustrial Ontologies GroupIndustrial Ontologies GroupIndustrial Ontologies Group

• Contact Person:

Timo TiihonenTimo Tiihonen e-mails: [email protected]@jyu.fi [email protected]@jyu.fi phone: +358 14 260 2741+358 14 260 2741

Kharkov National UniversityKharkov National Universityof Radioelectronicsof Radioelectronics

University of JyväskyläUniversity of Jyväskylä

URL: http://www.mit.jyu.fi/ai/OntoGroup

Michal Szydlowski Artem Katasonov Joonas Kesäniemi Nikos Mouchtaris Arnim Bleier

Page 3: Industrial Ontologies Group brief introduction

““Industrial Ontologies” Group: Our HistoryIndustrial Ontologies” Group: Our History““Industrial Ontologies” Group: Our HistoryIndustrial Ontologies” Group: Our History

• 1978-1984 – We took part in development of the first in USSR Industrial Natural Language Processing System “DESTA”, which included semantic analysis and ontologiesontologies;

• 1985-1989 - We took part in development of the first in USSR Industrial Automated Natural Language Programming System “ALISA”, which Enabled Semantic AnnotationEnabled Semantic Annotation, DiscoveryDiscovery and IntegrationIntegration of software components (prototype of today's Semantic Web ServicesSemantic Web Services concept);

Page 4: Industrial Ontologies Group brief introduction

““Industrial Ontologies” Group: Our HistoryIndustrial Ontologies” Group: Our History““Industrial Ontologies” Group: Our HistoryIndustrial Ontologies” Group: Our History

• 1990-1993 – under name of Metaintelligence Lab. we were piloting concept of a Metasemantic Network (triplet-based (meta-)knowledge representation model) – prototype of today’s RDF-based knowledge representation in Semantic WebSemantic Web;

• 1994-2000 – various projects with industrial partners, e.g. MetaAtom – “Semantic Diagnostics of Ukrainian Nuclear Power Stations based on Metaknowledge”; MetaHuman – industrial medical diagnostics expert system based on Metaknowledge”; Jeweler – metamodelling and control of industrial processes, etc.; got several research grants from Finnish Academy;

Page 5: Industrial Ontologies Group brief introduction

““Industrial Ontologies” Group: Our HistoryIndustrial Ontologies” Group: Our History““Industrial Ontologies” Group: Our HistoryIndustrial Ontologies” Group: Our History

• 2000-2001 – we have created branches in Vrije Universiteit Amsterdam (heart of Semantic Web activities in Europe) where now working 5 our former team members, in Jyvaskyla University (several tens of researchers) and established research groups in Kharkov (Ukraine) on Data Mining, Educational Ontologies, Telemedicine, etc.

• 2001-2003 – we took part in MultiMeetMobile Tekes Project, in InBCT Tekes Project in Tempus EU Compact Project in (or in cooperation with) University of Jyvaskyla where we further promote Semantic Semantic WebWeb concepts.

Page 6: Industrial Ontologies Group brief introduction

““Industrial Ontologies” Group: Our HistoryIndustrial Ontologies” Group: Our History““Industrial Ontologies” Group: Our HistoryIndustrial Ontologies” Group: Our History

• 2004-2007 – we worked on SmartResource Tekes Project (in cooperation with TeliaSonera, Metso Automation, TietoEnator, ABB, Science Park, University of Jyvaskyla) which is fully based on our views and approaches for implementation of Semantic WebSemantic Web technology. We are also performing the IdeaMentoring- I and IdeaMentoring- II projects funded by NOKIA to provide solutions for implementing Semantic Web Technology to mobile applications and services.

Page 7: Industrial Ontologies Group brief introduction

““Industrial Ontologies” Group: Our HistoryIndustrial Ontologies” Group: Our History““Industrial Ontologies” Group: Our HistoryIndustrial Ontologies” Group: Our History

• 2007-… – we are working on UBIWARE Tekes Project (in cooperation with ABB, Fingrid, Metso Automation, Metso Shared Services, Nokia, Hansa Ecuras Oy., Inno-W, University of Jyvaskyla) which further develops our concepts and platforms based on Semantic and Agent technologies integration. Working on ICT SHOK, FP7 and EU Tempus applications

Page 8: Industrial Ontologies Group brief introduction

Technology Profile of the GroupTechnology Profile of the GroupTechnology Profile of the GroupTechnology Profile of the Group

• Semantic Web, Semantic Technologies and Ontology Engineering

• Agents, Agent Technologies and Multiagent Systems• Distributed Systems• Artificial Intelligence• Integration, Interoperability, Middleware• Service-Oriented Architectures• Web X.0• Knowledge Management• Software Engineering• Ubiquitous Computing• Embedded Systems• P2P Networking

Page 9: Industrial Ontologies Group brief introduction

Application Domain Profile of the GroupApplication Domain Profile of the GroupApplication Domain Profile of the GroupApplication Domain Profile of the Group

• Industrial Automation• Power Industry• Process Industry• Education Management• Electronic Commerce• Future Internet• Devices and Interoperability• Flexible Services• Collaborative Traffic• Healthcare, eHealth, Wellness

Page 10: Industrial Ontologies Group brief introduction

Sample of IOG activitiesSample of IOG activitiesSample of IOG activitiesSample of IOG activities

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 Oleksiy KhriyenkoOleksiy Khriyenko Anton NaumenkoAnton Naumenko Dmytro ZhovtobrukhDmytro Zhovtobrukh Natalya KohvakkoNatalya Kohvakko Artem KatasonovArtem Katasonov

Courses:Courses: Semantic Web and Ontology EngineeringSemantic Web and Ontology Engineering Design of Agent-Based SystemsDesign of Agent-Based Systems

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 " "

Page 11: Industrial Ontologies Group brief introduction

GUN ConceptGUN ConceptGUN ConceptGUN Concept

GUN – Global Understanding eNvironment

GUN=

Global Environment+

Global Understanding =

Proactive Self-Managed Semantic Web of

Everything

http://www.mit.jyu.fi/ai/OntoGroup/projects.htm http://www.mit.jyu.fi/ai/Industrial_Ontologies_Group_booklet_print.doc

Page 12: Industrial Ontologies Group brief introduction

GGlobal lobal UUnderstanding Enderstanding Ennvironment (vironment (GUNGUN))GGlobal lobal UUnderstanding Enderstanding Ennvironment (vironment (GUNGUN))

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, which will be such proactive, self-managed evolutionary Semantic Web of Things, People and Abstractions where all kinds of entities can understand, interact, serve, develop and learn from each other.

Software-to-Human

Software-to-Machine

Software-to-Software

Human-to-Software

Our invention

Page 13: Industrial Ontologies Group brief introduction

SmartResource projectSmartResource projectSmartResource projectSmartResource project

• SmartResource: “Proactive Self-Maintained Resources in Semantic Web” Tekes project (2004-2006): http://www.mit.jyu.fi/ai/OntoGroup/SmartResource.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 allows considering each traditional system component as a “smart resource”, i.e. proactive, agent-driven, self-managing. Such approach has shown certain advantages comparably to other software technologies, e.g. OOSE, SOA, Component-Based SE, Agent-Driven SE, Semantic SE, etc.

Page 14: Industrial Ontologies Group brief introduction

What is UBIWARE (in short)What is UBIWARE (in short)What is UBIWARE (in short)What is UBIWARE (in short) UBIWARE is a new software technology and a tool to UBIWARE is a new software technology and a tool to

support:support: design and installation of…,design and installation of…, autonomic operation of… and autonomic operation of… and Interoperability among…Interoperability among…

… … complex, heterogeneous, open, dynamic and self-complex, heterogeneous, open, dynamic and self-configurable distributed industrial systems;…configurable distributed industrial systems;…

… … and to provide following services for system and to provide following services for system components:components: adaptation;adaptation; automation; automation; centralized or P2P organization;centralized or P2P organization; coordination, collaboration, interoperability and negotiation;coordination, collaboration, interoperability and negotiation; self-awareness, communication and observation;self-awareness, communication and observation; data and process integration;data and process integration; (semantic) discovery, sharing and reuse.(semantic) discovery, sharing and reuse.

URL: http://www.mit.jyu.fi/ai/OntoGroup/UBIWARE_details.htm

Page 15: Industrial Ontologies Group brief introduction

UBIWARE ProjectUBIWARE ProjectUBIWARE ProjectUBIWARE Project

• Due to heterogeneity of provided services and supported Due to heterogeneity of provided services and supported components, UBIWARE is based on integration of several components, UBIWARE is based on integration of several

technologies:technologies: Semantic Web, Distributed Artificial Intelligence and Semantic Web, Distributed Artificial Intelligence and Agent Technologies, Ubiquitous Computing, SOA (Service-Agent Technologies, Ubiquitous Computing, SOA (Service-

Oriented Architecture), Web X.0, P2POriented Architecture), Web X.0, P2P and related concepts.and related concepts.

• The research and design on UBIWARE is started byThe research and design on UBIWARE is started by Industrial

Ontologies Group within UBIWARE project: “Smart Semantic within UBIWARE project: “Smart Semantic Middleware for Ubiquitous Computing” (June 2007 – May 2010) Middleware for Ubiquitous Computing” (June 2007 – May 2010) funded by Tekes and industrial companies.funded by Tekes and industrial companies.

• Project web page:Project web page:

http://www.mit.jyu.fi/ai/OntoGroup/UBIWARE_details.htm

Page 16: Industrial Ontologies Group brief introduction

International CollaboratorsInternational CollaboratorsInternational CollaboratorsInternational Collaborators• Massachusetts Institute of Technology, CS and AI laboratory, USA

(semantic language for MAS, policy-based reasoning);• Massachusetts Institute of Technology, Data Center, USA (semantics in

RFID-based systems);• University of California, Berkeley, USA (declarative networking, user

modeling);• University of Southern California, USA (multi-agent systems, distributed

constraints optimization, robots coordination in P2P environments);• Lulea Technical University, Sweden (smart services, embedded

systems, telecommunications);• VU Amsterdam, Netherlands (agents and Semantic Web);• University of Athens, Greece (Service-Oriented Architectures);• DERI, National University of Ireland, Galway (sensor networks

middleware, Internet of things);• University of Coimbra, Portugal (Semantic Web processes and

services);• Ostrava Technical University, Czech Republic (logic in MAS);• ITIN, Cergy-Pontoise, Paris, France (educational system reforms);• Kharkov National University of Radioelectronics, Ukraine (machine

learning, semantic portals, quality assurance in education, university management).