1. Triple Helix 10th International Conference 2012
“Emerging Triple Helix Models for Developing Countries: From Conceptualization to Implementation”
08 - 10 August 2012
Bandung Indonesia
CREATING A
WEB INFRASTRUCTURE
OF REGIONAL INNOVATION ECOSYSTEM
IN THE TRIPLE HELIX MODEL IN RUSSIA
Liana KOBZEVA
Director, Center of Corporate Development
Tomsk State University of Control Systems and Radioelectronics (TUSUR)
Institute for Innovations
WI

2. WHO CONSIDERS INTERNET AS THE 2
BEST INSTRUMENT?
PORN INDUSTRY
ON-LINE GAMES
MASS MEDIA

3. 3
Are the universities, business and
government able to come up with
order for
Development of the internet as
an instrument for building the
innovation ecosystem?

4. & 4
• Have you ever surfed not less than 10 links in
order to get an answer to any question about
innovations?
• Have you ever wanted to make this search more
effective?
• If it is so annoying… Is it possible to make Internet
better for searching information about innovation
ecosystem?
• Are we really interested in using the Internet for
innovation ecosystem development?

5. We tried to answer these questions in Tomsk region –
5
one of the 10 innovation regions in Russia
6 universities in Tomsk, every 5th
citizen is a student
500 000 people live in Tomsk
36% of Tomsk population is people
with higher education
1st regional law about innovation activity in
Russia (1998)
1st regional innovation strategy in Russia
(2002)
14-year experience of Innovation Forum
organizing
36 web-sites, developed from 2002 till 2010, contain information about innovations,
30 of them were funded by the regional government. Each site is managed by
department with its own organisational culture, business processes and policy criteria.

6. THE AIM OF PRESENTATION 6
To get feedback about the task
recognition on using the Internet
as an effective instrument for
innovation ecosystem
development

7. CONTENT 7
• Task and project discussion with the
regional government
• Monitoring and analysis results of web
services and web portals about
innovations worldwide. Defining pros
and cons
• Ideas about the technologies, which can
help solve the task

8. 8
The project
« Creating the
web infrastructure
of regional
innovation ecosystem »

9. PROJECT DISCUSSION WITH REGIONAL GOVERNMENT 9
2010
June – 3 | December – 1
What are the challenges in Why is it necessary to include the
the Internet use for task of WI development in the
innovation ecosystem Regional innovation Strategy?
development?
2011
June – 3 | August – 1 | September – 1 | October – 3 | November – 1 | December – 1
What does What are the What are the What role do regional What are the main
the Web requirements for requirements government, universities and approaches to WI
Infrastructure the portal and for business play in WI development?
consist of? services of WI? developers? development?
2012
January – 1 | February – 1 | April – 1 | May – 2 | June – 3
What results can be Who will have the What should be on the
achieved by applying patent for Knowledge semantic portal?
semantic technologies? Graph?

10. Monitoring of web services and web portals about
10
innovations worldwide
171

11. ANALYSIS RESULTS: TYPES OF WEB SERVICES AND WEB PORTALS
ABOUT INNOVATIONS WORLDWIDE (PROS) 11
INFORMATION PORTALS RESOURCE PORTALS (TECHNOLOGY
INFORMATION PORTALS
SUPPORT & LABORATORY SERVICES)
Description and links to services, interactive Services necessary to do order the materials,
world partners map, searching for partners, equipment, different analysis, services to science
companies map, documents, calendar institutes, trainings how to work on special
«Dresden-concept», «Bio-M» – Germany; «Innovation
equipment, calculations, plotting, technical
Norway»; Sophia Antipolis – France; «A-STAR» – control
Singapore; Biotech portal – Hong Kong; Innopolis Resource portal, Biopolis Shared Facilities, Computational
Daedeok; Innovation district – Boston; Kansai Science City, recourse center – Singapore; Hong Kong Science park
Yokosuka Research Park – Japan; Z-park – China;
MATIMOP – Israel
TALENT PLATFORM STARTUPS AND INVESTORS NETWORKS
Attracting the best scientists and developers, data Data base of applications in finding the funding,
base of professionals who solve the company’s expertise, data base of venture investors, social
problems in science and technology, national data network, blog
base of researchers (scientists’ profiles), plan of «Innovation Israel. Startup Nation community»,
visits to the territory by foreign outstanding «Greenhornconnect 2.0» – Boston, Young Venture Capital
scientists Society, The Investors Network, Nordic Venture Network,
go4funding, Networkworld
Talent Pool Platform – Hong Kong Science park, «HR028» –
China, Innocentive – Europe, Singapore researchers
database

12. ANALYSIS RESULTS: CONS 12
- Search for necessary information about
innovation ecosystem still takes much time
- Information about innovation ecosystem is
fragmented from a user perspective
- Users still don’t know which of the web sites
they can trust and which they can’t
- Web sites and services are fragmented and not
integrated into a single Web Infrastructure

13. 13
What
technologies
can help solve this
challenging task?

14. emantic Web Technologies 14

15. SOME EXAMPLES OF SEMANTIC WEB PROJECTS 15
FinnONTO (National Semantic Web Ontology Project of FINLAND) 2003-2012
which aims to «lay a foundation for a national metadata, ontology, and ontology service
framework in Finland, and demonstrate its usefulness in practical applications. In our vision, a
conceptual semantic infrastructure is needed for the semantic web in the same way as roads are
needed for traffic and transportation, power plants and electrical networks are needed for energy
supply, or GSM standards and networks are needed for mobile phones and wireless
communication». Semantic Computing Research Group (SeCo)
Theseus (GERMAN government project) 2007-2012
which aims to utilise «new, internet-based methods of acquiring, seeking and
processing knowledge» to «improve the competitive position of Germany and
of Europe as a whole, with a view to ultimately becoming one of the world’s
leading locations for information and communication technology». Siemens,
SAP, Fraunhofer Institute for Telecommunications
Semantic Transformations (AUSTRALIA) 2005-2010
This research sought to gain an in-depth understanding of the
development and utilisation of «semantic technologies» and
their long history of research and development. It gave us
insights into the impact of semantic technologies on the creation
and consumption of digitally published «documents» and
information across the world wide web. ARC Linkage Grant in
partnership with Fuji Xerox Australia and RMIT University

16. + SEMANTIC WEB TECHNOLOGIES… 16
…are based on building Ontology and Knowledge Graph.
If they are built correctly:
- information is analyzed, classified
- information from different web sources is integrated
- connection between different types of data is
established
«Shooting the target» (quick access to the
information, that is really useful for a user)

17. A PART OF KNOWLEDGE GRAPH OF TOMSK REGION INNOVATION ECOSYSTEM 17

18. CONCLUSIONS 18
- The goal of using the Internet as an effective instrument of innovation
ecosystem was recognized by the regional government.
- Web sites devoted to innovations worldwide have been developed in
different areas. They have both pros and cons and are not effective
enough for web infrastructure development.
- Semantic technologies are used in the world, they are effective and help
create common vision of the industry, services sector, etc. They are used
in eHealth, eCulture, etc., but they are not used in innovation ecosystem
development.
- Knowledge Graph is supposed to be jointly built by universities,
business and government as essential stage in the Web infrastructure
development.
The question is: How can we attract universities and
innovative businesses to this project?

19. Thank you for your attention!
05.Liana@gmail.com