Mashupper for Social Networks (Industrial Ontologies Group)

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Transcript Mashupper for Social Networks (Industrial Ontologies Group)

Industrial Ontologies Group (2002-2012)
(Fast Introduction)
Industrial Ontologies Group
Industrial Ontologies Group
University of Jyväskylä
Researchers
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Vagan Terziyan (Head)
Olena Kaykova
 Oleksiy Khriyenko
 Sergiy Nikitin
 Michal Nagy
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Contact Person:
Timo Tiihonen
Michael Cochez
 Joonas Kesäniemi
 Viljo Pilli-Sihvola
 Jose Luis Garduno
URL: http://www.mit.jyu.fi/ai/OntoGroup
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e-mails:
• [email protected][email protected]
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phone: +358 14 260 2741
IOG Roadmap: GUN-GERIUBIWARE-SmartResource
?? (2014-2018)
Tekes (2004-2006)
FP7 (2011-2013)
Tekes (2007-2010)
GUN (Global Understanding Environment) – Proactive Self-Managed Semantic Web
of Everything – Web 5.0 candidate - general ecosystem and final destination
GERI (Global Enterprise Resource Integration) – GUN subset related to industrial
domains - is based on PRIME (Proactive Inter-Middleware) as UBIWARE extension
UBIWARE – middleware for GERI
SmartResource – semantic technology, pilot tools and standards for UBIWARE
Topics of Major Publications (2006-2010)
Industrial Ontologies Group
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(Industrial Ontologies Group)
ψ-Projection of the IOG Research Roadmap
Proactivity (Autonomic and Proactive Computing, Agent Technologies, DAI, MAS, …)
Semantics (Semantic Web, Linked Data, Semantic Technologies, …)
Services (SaaS, SOA, SWS, Cloud Computing, …)
Intelligence (Machine Learning, Data and Web Mining, Computational Intelligence, Business Intelligence, …)
IOG Major Publications’ Topics
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Global Understanding Environment
Proactive Future Internet
Semantic Web Services for Smart Devices
Semantic Agent Programming Language
Behavioral Coordination of
Heterogeneous Systems
Self-Maintained Resources in Semantic
Web
Intelligent Interface for Integrated
Information
Semantics-Based Access Control
General Adaptation Framework for
Semantic Web
Context-Sensitive Metadata Description
Service Matching in Agent Systems
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Mastering Intelligent Clouds
Middleware Platform for the Semantic Web
Semantic Middleware for the Internet of
Things
Semantic Middleware for Cooperative
Traffic Systems and Services
Agent Scenario for Forest Industry
Agent-Based Approach for Electricity
Distribution
Semantic and Agent Technologies for
Industrial Automation
Data Integration Solution for Paper
Industry
Ontology-Based Portal for Educational
Resources
Global Understanding Environment (GUN)
(Industrial Ontologies Group)
GUN is a kind of Ubiquitous Eco-System
for Ubiquitous Society, which is 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.
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
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Main projects
• SmartResource (TEKES 2004-2006)
– Development of a global and smart maintenance management
environment for heterogeneous industrial resources
– Companies: TietoEnator, Metso Automation, TeliaSonera, Jyvaskyla Science
Park, ABB, CASCOM, OntoWeb, Sodium, ASG
– More info: http://www.mit.jyu.fi/ai/OntoGroup/SmartResource_details.htm
• Ubiware (TEKES 2007-2010)
– Development of middleware platform (UBIWARE) which will allow creation
of self-managed complex industrial systems consisting of distributed,
heterogeneous, shared and reusable components of different nature
– Companies: Metso Automation, Fingrid, ABB, InnoW, Hansa Ecuras, Nokia
– More info: http://www.mit.jyu.fi/ai/OntoGroup/UBIWARE_details.htm
SmartResource project our first step towards GUN
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SmartResource: “Proactive Self-Maintained
Resources in Semantic Web” Tekes project
(2004-2006) done by IOG.
Project site:
http://www.mit.jyu.fi/ai/OntoGroup/SmartResource.htm
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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.
UBIWARE (Industrial Ontologies Group)
UBIWARE (Platform Architecture)
UBIWARE (Scientific Impact)
UBIWARE (4i (“for-eye”) Browser)
4i-Browser is able to select
resources from a semantic
repository, which are
semantically close to a given
resource in certain customized
context, and visualize (also with
the help of external services)
both: the resources and the
closeness
UBIWARE-Driven Distributed Data Sources
Management (OntoNuts-supported)
UBIWARE-Driven Heterogeneous Systems
Integration (OntoNuts-supported)
Participation in other projects
• TRUST project supported by Tempus(EU) (2011-2013)
– Semantic Portal for Quality Assurance Support in Universities
• iSCOPE project (2011)
– Location-based alerting system for mobile users
• Cloud software program (2010-2011)
– Integration of social networks (Nokia)
– Competence search in human space (Tieto)
• SWIMMER (2006-2007)
– Semantic Web Integrator for Maintenance Management of Enterprise
Resources
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SCOMA Semantic Web portal (2005)
Semantic Facilitators for Web Information Retrieval (2004)
Idea Mentoring II (2004)
Idea Mentoring (2004)
Several Tempus projects supported by EU
All projects: http://www.mit.jyu.fi/ai/OntoGroup/projects.htm
“Executable Knowledge”
[Concept of Industrial Ontologies Group]
Executable script:
knowledge management
instructions
S-APL
Executable Knowledge is such a knowledge,
which contains explicit (executable) instructions on
how to manage itself (i.e. self-management enabled)
Knowledge Computing –
Executable Knowledge
Management
[Industrial Ontologies Group]
“Executable” Mixed Reality:
Business Intelligence on Top of Linked Data
(concept of Industrial Ontologies Group)
“Mashupper” for Social Networks
(Industrial Ontologies Group)
UBIWARE-Driven
Monitors and integrates
your profile and activities
in various social networks
http://www.mit.jyu.fi/ai/OntoGroup
Semantic Monitoring of Power
Networks on UBIWARE Platform
Software application on top of
UBIWARE platform done as a
case study to demonstrate
added value of Semantic and
Agent technologies for power
network maintenance.
Application connects different
sources of information and
service providers with some
decision logic and visualizes
results as a semantic mashup.
(Industrial Ontologies Group)
PRIME: PRoactive Inter-MiddlewarE
as 2-nd order middleware (Future Vision)
GERI: Global Enterprise Resource Integration
to enable “Ecosystem-as-a-Service” (Future Vision)
GERI: Global Enterprise Resource Integration
to enhance industrial systems with public/social
context and services (Future Vision)
Our activities in Tivit (Services)
Our recent activities in Tivit
(Cloud Software)
Our recent activities in Tivit
(Internet of Things)
Our recent activities in TEMPUS:
TRUST: Towards Trust in Quality Assurance Systems
(Architecture of Semantic Portal)
IOG-Driven: New International
and Interdisciplinary Master Program: WISE
http://www.cs.jyu.fi/ai/WISE.pdf
Official Web Site of the WISE Program: https://www.jyu.fi/en/studywithus/programmes/wise
Program Mission : on completion of the programme,
the graduates will be able to use and design complex
self-managed Web-based public and industrial
systems, digital ecosystems, platforms, services and
applications; will be able to connect their designs with
publicly available data and Web-based capabilities as
services; will be able to figure-out and approach
various challenging aspects of wicked problems worldwide, which require self-managed service-based
architectures for their solutions; understand and
professionally utilize for that purpose knowledge on
enabling technologies and tools; perform academic
doctoral level studies; will be skilful in international
communication due to the integrated language and
communication studies. Students, who will graduate
from the programme with a Master of Science in
Natural Sciences from the Department of Mathematical
Information Technology, will think beyond the routine
and will be able not just to adapt to a change but to
help to create and control it.
UNIVERSITY OF JYVÄSKYLÄ
Industrial Ontologies Group Industrial Ontologies Group
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Joint group with Agora Center lead by Prof. Vagan
Terziyan
5 PhD’s in JyU (Naumenko, Khriyenko, Kohvakko, Zhovtobryukh, Nikitin) +
+ 4 PhD’s abroad (Vitko, Shevchenko, Scherbak, Golovyanko) in
Ukrainian branch of IOG;
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Research vision: Global Understanding eNvironment
– Proactive Self-Managed Semantic Web of Everything;
– GUN slogan: EaaS4E: “Everything-as-a-Service for Everything”
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Research themes
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Proactive computing (Agents, multi agent systems)
Semantic Web
Services (SOA, Cloud Computing)
Intelligence (Machine learning, Data mining)
http://www.mit.jyu.fi/ai/OntoGroup
UNIVERSITY OF JYVÄSKYLÄ
IOG – major outcomes
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Industrial Ontologies Group
S-APL (Semantic Agent Programming Language)
– RDF based language for multi agent systems
– Both data and actions described semantically
– Enables ”Knowledge Computing”
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UBIWARE
– Versatile middleware platform based on semantically
coordinated multi-agent system
– Uses and supports S-APL on JADE multi agent platform
– Several industrial pilot cases (ABB, Metso, FinGrid) linking
databases and web tools (Google Earth, social networks)
UNIVERSITY OF JYVÄSKYLÄ
Industrial Ontologies Group
IOG – TIVIT (future plans):
Program: Tivit-D2I (”From Data to Intelligence”)
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Activity group 1: “Preparing for Linked Data” (gathering, collection, standardization):
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Activity group 2: “Creating, deploying and enabling Linked Data”:
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Gathering and integration of contextual data from the Web.
Gathering and integration of ubiquitous data from industry-driven ubiquitous sources.
Gathering and integration of dynamic customer data.
Gathering and integration of dynamic business data.
Gathering and integration of modeling data from various real-life simulators.
Adding semantic layer.
Design and development of linked data browser and adaptive semantic search engine.
Enabling user- and/or context-driven filtering of the data for smooth visualization.
Enabling data profiling, classification, clustering and grouping based on semantic similarity metrics.
Enabling on-the-fly generated MashUps and MeshUps from Linked Data.
Automatic discovery of hidden/implicit semantic links and multi-linguistic support
Activity group 3: “Utilization of Linked Data”:
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Enabling decision making support (BIaaS: “Business Intelligence-as-a-Service”).
Automatic discovery of relevant data sources for a particular decision.
Automatic discovery, orchestration, choreography, invocation, execution and execution monitoring of BI
services.
Designing infrastructure for mining linked data (LDM).
Providing Semantic SOA infrastructure for data mining software as a service on top of Linked Data
(DMaaS: “Data-Mining-as-a-Service”).
Providing pilot implementation of the infrastructure for a particular set of DM algorithms applied on top on
industry-origin Linked Data.
TIVIT - Finnish foundation for strategic research and innovation
UNIVERSITY OF JYVÄSKYLÄ
Industrial Ontologies Group
IOG – TIVIT (future plans):
Program: Tivit-IoT (”Internet of Things”)
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Enabling Services (clouds) for IoT, Bridging IoT with
IoS;
Enabling Thing-as-a-User (TaaU) vs. Thing-as-aService (TaaS) and enabling Semantic T2T (also
T2H, H2T, etc.) communication capability and
interfaces for it;
Middleware for IoT (e.g. UBIWARE-Driven);
Self-Managed IoT (agent-driven);
Semantic Interfaces, Semantic API, Semantic
MashUps / MeshUps, Semantic Visualization for IoT;
Enabling “Socially Networked” things.
UNIVERSITY OF JYVÄSKYLÄ
Industrial Ontologies Group
IOG – TIVIT (future plans):
Program: Tivit-Services
– Private (customized) decision-support services for public
related to:
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education;
healthcare and wellness;
managing finances;
etc…
… based on “Executable Reality” concept (Business
Intelligence on top of Linked Data), semantic and agent
technologies.
– Challenge the slogan: “Everything-as-a-User” (EaaU) :
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Device as service consumer;
Software system or Web-service as service consumer;
…, etc., …
… in addition to the “human as service consumer”.
UNIVERSITY OF JYVÄSKYLÄ
Our recent plan for FP7
UNIVERSITY OF JYVÄSKYLÄ
Contact us!
Home page: http://www.mit.jyu.fi/ai/OntoGroup
Vagan Terziyan
([email protected])
Timo Tiihonen
([email protected])
(c) Industrial Ontologies Group
UNIVERSITY OF JYVÄSKYLÄ
Our 10-Years Anniversary (16.11.2012)