Semantic Web: The Future Starts Today

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Semantic WebThe Future Starts Today
Industrial Ontologies Group

• Industrial Ontologies Group
• http//www.cs.jyu.fi/ai/OntoGroup/index.html

Agora Center, University of Jyväskylä, 23 May 2003
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Industrial 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 ontologies
• 1985-1989 - We took part in development of the
  first in USSR Industrial Automated Natural
  Language Programming System ALISA, which
  Enabled Semantic Annotation, Discovery and
  Integration of software components (prototype of
  today's Semantic Web Services concept)

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Industrial 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 todays
  RDF-based knowledge representation in Semantic
  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

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Industrial 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 Web concepts.

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Industrial Ontologies GroupImportant Objective

• For us there are no doubts about the
  possibilities, which Semantic Web opens for
  industry.
• that is why one important objective of our
  activities is to study appropriate industrial
  cases, collect arguments, launch industrial
  projects and develop prototypes for the
  industrial companies to not only believe together
  with us but also benefit from the Semantic Web.

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Why and Where Semantic Web ?

• more then 3,000,000,000 web-pages
• Information burst
• ICT needs comprehensive resource management
  technology

WWW

• Needs for integration of businesses
• Web Services for e-Business
• Standardization and Interoperability problems

Business
Knowledge Management

• Consolidate and reuse experience
• Standardize knowledge sharing technology
• Needs for the intelligent tools to use humans
  knowledge

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Approach Semantic Web

• The Semantic Web is a vision the idea of
  having data on the Web defined and linked in a
  way that it can be used by machines not just for
  display purposes,
• but for automation, integration and reuse
• of data across various applications
• http//www.w3.org/sw/
• The Semantic Web is an initiative with the
  goal of extending the current Web and
  facilitating Web automation, universally
  accessible web resources, and the 'Web of Trust',
  providing a universally accessible platform that
  allows data to be shared and processed by
  automated tools as well as by people.

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Word-Wide Correlated Activities
Semantic Web
Agentcities is a global, collaborative effort to
construct an open network of on-line systems
hosting diverse agent based services.
Semantic Web is an extension of the current web
in which information is given well-defined meaning
, better enabling computers and people to work
in cooperation
Agentcities
Grid Computing
Wide-area distributed computing, or "grid
technologies, provide the foundation to a number
of large-scale efforts utilizing the global
Internet to build distributed computing and
communications infrastructures.
FIPA
FIPA is a non-profit organisation aimed at
producing standards for the interoperation of
heterogeneous software agents.
Web Services
WWW is more and more used for application to
application communication. The programmatic
interfaces made available are referred to as Web
services. The goal of the Web Services Activity
is to develop a set of technologies in order to
bring Web services to their full potential
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Semantic Web New Users
applications
agents
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Semantic Web Resource Integration
Semantic annotation
Shared ontology
Web resources / services / DBs / etc.
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Semantic Web What to Annotate ?
External world resources
Web resources / services / DBs / etc.
Web users (profiles, preferences)
Shared ontology
Web agents / applications
Web access devices
Smart machines and devices
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Ontologies the foundation of Semantic Web
Ontologies are key enabling technology for the
Semantic Web ..explicit specification of
conceptualization.. Ontology is formal and rich
way to provide shared and common understanding of
a domain, that can be used by people and machines
comment
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O. Kononenko
V. Terziyan
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3.1 analysis
Home page
draft
Query 1 get all documents from location X, but
not web-pages Query 2 get documents related to
Y, with more then one author, one of which is
Terziyan Query 3 are there web-pages of Z with
private access related to documents with
subject S?
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Semantic Web Interoperability
Common (shared) ontology
System 2
System 1
A commitment to a common ontology is a guarantee
of a consistency and thus possibility of data
(and knowledge) sharing
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Co-operative Work in Web
WWW
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Co-operative Work in Semantic Web
Semantic Web
WWW
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Semantic Web is not Only ...
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but Also ...
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Industrial Ontologies GroupSamples of our
ResearchApplications of Semantic Web
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Web Resource/Service IntegrationServer-Based
Transaction Monitor
Web resource / service
Server
Client
wireless
Web resource / service
TM
Transaction Service
Server
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Web Resource/Service IntegrationMobile
Client-Base Transaction Monitor
TM
Web resource / service
wireless
Client
Server
wireless
Web resource / service
Server
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The conceptual scheme of the ontology-based
transaction management with multiple e-services
Terziyan V., Ontological Modelling of E-Services
to Ensure Appropriate Mobile Transactions, In
International Journal of Intelligent Systems in
Accounting, Finance and Management, J. Wiley
Sons, Vol. 12, 2003, 14 pp.
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Ontology-Based Transaction Management for the
Semantic Web
Consider two basic transaction management
architectures in mobile environment depending on
where the Transaction Monitor (TM) will be
located. First one (Server-Based) assumes that TM
will be located in server side, e.g. within some
transaction management service. Second one
(Client-Based) supposes that TM is located in
mobile client terminal. The first objective will
be to provide and study an integrated mobile
transaction management architecture for the
Semantic Web applications, which will combine the
best features from these two architectures by
intelligent switching from one architecture to
another one depending on current application
context. There is already some ontological
support for Semantic Web resources and services
interoperability based on OWL, DAML-S. However to
be able to manage transactions in Semantic Web
across multiple resources (or services) there
will not be enough only ontologies for semantic
annotations of these resources there will be
evident need of the ontology for the Semantic Web
transactions itself. The second objective will
be developing pilot ontology for the RDF-based
semantic annotation of mobile transactions in the
Semantic Web.
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Architecture for a Mobile P-Commerce Service
Terziyan V., Architecture for Mobile P-Commerce
Multilevel Profiling Framework, IJCAI-2001
International Workshop on "E-Business and the
Intelligent Web", Seattle, USA, 5 August 2001, 12
pp.
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BANK P-Commerce Service provider
Automatic
Mapping and Transactions
via resources and users annotations
Service User
Service User
Service User
Service User
Service User
Service User
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Mobile Location-Based Service in Semantic Web
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Machine-to-Machine Communication
P2P ontology
P2P ontology
Heterogeneous machines can understand each
other while exchanging data due to shared
ontologies
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Semantic Web-Supported Sharing and Integration of
Web Services
Different companies would be able to share and
use cooperatively their Web resources and
services due to standardized descriptions of
their resources.
P2P ontology
P2P ontology
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Corporate/Business Hub
Hub ontology and shared domain ontologies
Partners / Businesses
Companies would be able to create Corporate
Hubs, which would be an excellent cooperative
business environment for their applications.
What parties can do
What parties achieve
Publish own resource descriptions
Software and data reuse
Advertise own services
Automated access to enterprise (or partners)
resources
Lookup for resources with semantic search
Seamless integration of services
Ontologies will help to glue such
Enterprise-wide / Cooperative Semantic Web of
shared resources
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Web Services for Smart Devices
Smart industrial devices can be also Web Service
users. Their embedded agents are able to
monitor the state of appropriate device, to
communicate and exchange data with another
agents. There is a good reason to launch special
Web Services for such smart industrial devices to
provide necessary online condition monitoring,
diagnostics, maintenance support, etc.
"OntoServ.Net"
OntoServ.Net Semantic Web Enabled Network of
Maintenance Services for Smart Devices,
Industrial Ontologies Group, Tekes Project
Proposal, March 2003,
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Global Network of Maintenance Services
"OntoServ.Net"
OntoServ.Net Semantic Web Enabled Network of
Maintenance Services for Smart Devices,
Industrial Ontologies Group, Tekes Project
Proposal, March 2003,
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Embedded Maintenance Platforms
Embedded Platform
Based on the online diagnostics, a service agent,
selected for the specific emergency situation,
moves to the embedded platform to help the host
agent to manage it and to carry out the
predictive maintenance activities
Host Agent
Maintenance Service
Service Agents
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OntoServ.Net Challenges

• New group of Web service users smart industrial
  devices.
• Internal (embedded) and external (Web-based)
  agent enabled service platforms.
• Mobile Service Component concept supposes that
  any service component can move, be executed and
  learn at any platform from the Service Network,
  including service requestor side.
• Semantic Peer-to-Peer concept for service network
  management assumes ontology-based decentralized
  service network management.

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Industrial Ontologies GroupFuture
PlansApplications of Wireless Semantic Web
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Semantically annotated personal data

• Virtually all resources have to be a marked with
  semantic labels that show explicitly the
• meaning of the resource (piece of data, fact,
  value etc.) It will make possible for user
• To organize own view on data and use it for data
  management
• To access own and others resources with semantic
  queries using terms of own model
• To be able integrate data from other sources
• (semantics of data is important, data can be
  converted/translated if needed and appropriate
  mapping exists)
• Applications will have
• Possibility to discover and operate on user
  information and preferences
• Possibility to share information with
  applications on other devices and elsewhere

Common data semantic descriptions(ontologies)
My data descriptionmodel (ontology)
mapping between views
Semantic Web Inside
Personaldata-view
Commitmentto ontology
Applications
User data becomes available to variety of
applications and other people
My resourcesand their descriptions
Other peoplesdata-views
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Modelling of personal data views

• Simple user data view (as is in most of mobile
  phones)

Data to store in every instance of defined
information model Actually, this model is a
simple ontology of Personal Data
domain. Using developed standard ontology
languagesit will be stored in universal data
format.

• Model of users data and other resources
• Contacts (phone numbers, names etc.)
• Notes (some pieces of text)
• Calendar (with some events assigned)
• It is rather simple, but a good beginning for own
  data model
• creation..

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Building own data model
added slot (property/field)
inherited slot
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Building own data structure
Relative is a kind of friend
added slot (property/field)
inherited slot
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Building own data structure
added slot (property/field)
inherited slot
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Using generated interface
For described data model forms are generated

• Data view is described as an ontology which
  contains all needed information about data
  structure. User interface is built dynamically
  from ontology
• Fields for data
• Form layout, types of controls (e.g. picture,
  checkboxes etc.)
• Rules for data that can check some constraints,
  invoke actions, perform calculations whatever!

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Access your data quickly and easily
Possibilities to build flexible, easily
customizable data management applications are
great.
Event data
Just click to open
Every piece of data is somehow described in
users terms from data-view ontology. Links
between data make it easy to find needed
information
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Customizable personal information management
environment
Easy-to-use, flexible, customizable data
management for users

• Personal data view
• Development of own view on personal data
• Reusing of existing views (join, modify, extend)
• Links between personal and some global ontology
• Sharing of data
• Applications use data and do it correctly
  (because of semantics assigned)
• Applications can exchange data with external
  sources
• Data can be translated in respect of its
  semantics(for localization, between different
  data views, to fit some requirements etc.)
• In such environment even development of own
  applications/scripts can be possible
• Ontologies and Semantic Web will enable such kind
  of applications

Repositories of readydata-views
Enabled collaboration and interoperability
Note Protégé-2000 ontology development and
knowledge acquisition tool was used for
demonstration
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OntoCache
General ontology
Translation
Semantic annotations of Web-services (or any
other resources) based on shared ontologies
enhance much the efficiency of their
search/browsing from the PDA. Local ontology
adapts permanently to the user preferences.
Personal ontology
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OntoCache benefits
Context and preferences-based adaptation
Support for semi-natural queries
Effective filtering of wide variety of
Web-resources
Technology that supports future Ubiquitous
Semantic Web
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Agent-to-Agent communication
Peer-to-Peer
- - - - - - - - - - -
Semantic annotation of the local data enables its
intelligent processing by software. Ontologies
provide interoperability between heterogeneous
peers.
Phone calls are also possible between mobile
terminal agents. They are performed without human
participation in order to exchange local
information.
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Agent-to-Agent communication
semantics enables
intelligent data processing
Business
ontological relations
define possible
Cooking
cooperation between
domain agents
Health
shared ontology
ensures
interoperability
Whatever
?
annotate problem domains
into related ontologies
programm software
basing on the ontologies
semantically enrich
data basing on ontologies
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Telemedicine
Health Center
On a beach
At university
Anywhere
Health Maintenance without barriers
Fishing
Anytime and Anywhere
In the office
Outside
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Telemedicine
Health Center
On a beach
At university
Anywhere
Health Maintenance without barriers
Fishing
Anytime and Anywhere
In the office
Outside
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OntoGames New Games Generation
Personal User Profile
Common Games Profile
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OntoGames New Games Generation
Personal User Profile
Common Games Profile
Personal Reality into each game
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OntoGames Semantical Games Space
Semantical Games Space
Real Life - part of the game
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OntoGames Semantical Games Space
Semantical Games Space
one LIFE - one GAME
Real Life - part of the game
one game - many roles
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OntoGames Exit in the Real Life
Game - exit in the Real Life
Reality connection via the game
Reality connection via the game
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BANK Data annotation
In order to make miscellaneous data gathered and
used later for some processing, every piece of
data needs label assigned, which will denote its
semantics in terms of some ontology. Software
that is developed with support of that ontology
can recognize the data and process it correctly
in respect to its semantics.
Annotated data (RDF)
Ontology of gathered data
Web forms and dialogs generated
Processing of data by some other semantic-aware
applications
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BANK Customers data processing
Bank Clients
Clients clustering
Input forms
Data Storage
Bank Clients Ontology
Intelligent ontology-based software
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BANK Services annotation
Semantics enabled services easy way to use for
customer
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BANK Loan Borrower annotation
Bank - investor
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Read Our Recent Reports

• Semantic Web The Future Starts Today
• (collection of research papers and presentations
  of Industrial Ontologies Group for the Period
  November 2002-April 2003)
• Semantic Web and Peer-to-Peer Integration and
  Interoperability in Industry
• Semantic Web Enabled Web Services State-of-Art
  and Challenges
• Distributed Mobile Web Services Based on Semantic
  Web Distributed Industrial Product Maintenance
  System
• Available online in http//www.cs.jyu.fi/ai/OntoG
  roup/index.html

V. Terziyan
A. Zharko
O. Kononenko
O. Khriyenko
Industrial Ontologies Group
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Semantic Web The Future starts today
Interoperability standards
e-Business, net-markets
Enterprise Application Integration
Web-services
Web Of Trust
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Industrial Ontologies Group Examples of Related
Contacts
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University of Jyvaskyla ExperienceExamples of
Related Courses
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Cooperation with American Universities
John Canny Professor, Division of Computer
Science, University of California, Berkeley, USA
Ioannis Kakadiaris Ass. Professor, Department of
Computer Science, University of Houston, USA
Ioannis is the founder and Director of Visual
Computing Laboratory and the Director of the
Division of Bioimaging and Biocomputation at the
UH Institute for Digital Informatics and
Analysis. He is the recipient of a year 2000 NSF
Early Career Development Award.
John came from MIT in 1987 after his thesis on
robot motion planning, which won the ACM
dissertation award. He received a Packard
Foundation Fellowship and a PYI while at
Berkeley. He developed inexpensive, ubiquitous
telepresence robots called "PRoPs...
Cooperation focuses to investigating issues
related to management of the Web content which
includes human motions as its component,
according to the common framework of management
multimedia content in the Semantic Web. Possible
applications considered - Automatic remote
camera control (behavior recognition, intentions
capture, operator (astronaut) actions control
etc.) - Semantic video transmission (transmit
wireless only recognized semantics of motions).
Cooperation focuses to following subjects -
Knowledge management of a community of trust -
Collaborative Filtering with Privacy -
Intelligent Integration of Filtering Models -
Adaptive User Interfaces - Human-Centered
Computing - Online Collaborative learning.
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Conclusion

• Semantic Web is not only a technology as many
  used to name it
• Semantic Web is not only an environment as many
  naming it now
• Semantic Web it is a new context within which one
  should rethink and re-interpret his existing
  businesses, resources, services, technologies,
  processes, environments, products etc. to raise
  them to totally new level of performance
• ------------------------------------------
• Contact Vagan Terziyan vagan_at_it.jyu.fi
• http//www.cs.jyu.fi/ai/vagan (tel. 358 14
  2604618)