Transcript Semantic Web

Activities of Distributed
Systems Research Group
Resource
Agent
“Device”
Resource
Agent
“Expert”
Resource
Agent
“Service”
PI
GB
SC
Vagan Terziyan
[email protected]
Industrial Ontologies Group
Distributed Systems Group in Jyvaskyla
Distributed Systems
Research Group (united)
Industrial Ontologies
Peer-to-Peer
Group
Research Group
Prof. Jarkko Vuori
Prof. Vagan Terziyan
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 Group
GROUP PROFILE:

Industrial Ontologies Group
http://www.cs.jyu.fi/ai/OntoGroup/
Semantic Web and Ontologies
 Web Services and Semantic Web Services
 (Multi) Agent Technologies
 Distributed Artificial Intelligence
 Knowledge Management
 Mobile Context-Aware Services and Applications
 Machine Learning
 Data Mining and Knowledge Discovery
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
University and leads the activities in the domain
“Industrial Applications of Semantic Web” in Finland
PhD theses

Courses:


Andriy Zharko
 Oleksiy Khriyenko
 Anton Naumenko
 Sergiy Nikitin
Dmytro
" Zhovtobrukh
 Natalya Kohvakko
Nokia projects:
InBCT project:
IdeaMentoring: Refining research ideas to
the new business opportunities"
Semantic Search Facilitator
”Semantic Google”
Semantic Web and
Services
 Web
"IdeaMentoring
II "
Agent Technologies in Mobile Environment
MIT Department
TITU
Agora Center
Adaptive Services Grid
TEKES project:
Integrated Project supported
by the European
Commission
International
IFIP Conference on
SmartResource:


” Industrial
Applications
of
Proactive
Self-Maintained
Anton
Naumenko
Semantic
ResourcesWeb”
in Semantic Web
Sergiy Nikitin
Two alternative trends of Web development
Machines,
devices,
software, etc
Human
Communities
Facilitates
Human-to-Human
interaction
Facilitates Machineto-Machine
interaction
GUN 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 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, selfprotection, 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 Society
GUN can be considered as
a kind of Ubiquitous EcoSystem 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.
Human-to-Human
Human-to-Machine
Machine-to-Human
Machine-to-Machine
Agent-to-Agent
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
The Roadmap towards GUN
Qualitative transitions
Adaptation and
personalization
Core DAI
platform
Coordination
and
networking
Proactivity
and
behavior
Security
and trust
Autonomicity, selfmanagement, selfconfigurability
Metadata,
Industrial cases
semantics,
implementation
ontologies
Intelligence,
Human…
learning,
centricity,
reasoning,
GUI, Web
planning
2.0, Wiki
WIDER 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
Challenge 1: General Adaptation Framework
SC
Universal reusable
semantically-configurable
adapters
Challenge 2: General Proactivity Framework
Role
“Feeder”
descriptio
n
Role
“SCADA”
descriptio
n
Role
“Maintenanc
e worker”
description
GB
Universal reusable
semantically-configurable
behaviors
Challenge 3: General Networking Framework
Scenario
“Predictive
maintenance”
description
PI
Scenario
“Data
integration”
description
Universal reusable
semantically-configurable
scenarios for business
processes
SmartResource 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, selfmanaging.
What is next?
UBIWARE: “Smart Semantic Middleware
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: “Global Resource Integration
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: Semantic Web Integrator
for Maintenance Management of
Enterprise Resources
SWIMMER
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.
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 Community
UBIMATH: Network of Mathematical
Models in Ubiquitous Environments
SMONT: Ontologies as Smart Resources
WIKI-Pro: Wikis as Smart Resources
MIT 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, MIT
Edmund W. Schuster
Co-director,
The Data Center
Principal Research
Scientist, MIT
[email protected]
[email protected]
Berkeley- 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 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, 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
of Amsterdam
Prof. Frank Harmelen
Dynamics of
agent behavior
Reasoning about
diagnostic systems
Multiagent systems’
design
Semantic Web
Prof. Jan Treur
Diagnostics of
organizations
Ontology Learning
Ontology Integration
Dr. Borys Omelayenko
Cooperation with Kharkov National
University of Radioelectronics
Volodymyr Kushnaryov
Prof. Yevgeniy Bodyanskiy
Neuro-Fuzzy Networks
Industrial
Automation
Industrial
diagnostics,
prediction
and control
Machine Learning
Kharkov National University of Radioelectronics
Ukraine
Data Mining and
Knowledge
Discovery
Ontologies in
Education
Bayesian Networks
Dr. Oleksandra Vitko
Telemedicine
Statistics
Prof. Natalya Lesna
Cooperation with ITIN, France
• Integrating of Semantic
Web and Agent
Technologies with
Telecommunications and
Mobile Computing and its
utilization in Business and
Education
Prof. Alain Gourdin
Managing Director
ITIN, IT-Institute
Cergy-Pontoise cedex
France
www.itin.fr