Measures of Central Tendency: Mean, Median and Mode
INTI 13 - Territorial Intelligence Service Cloud New Extension
1. Z. WILHELM – P. ÁCS – C. FILO – C. Z. BERES – P. UHERKOVICH
30 May 2013 – Besancon - Dijon
Territorial Intelligence Service Cloud
New Extension
University of Pécs – Research Team on TD & ICT
2. Territorial Intelligence Service Cloud (TISC)
Background and Milestones
2
CooSpace presentation by P. ÁCS /
03/24/2005 Madrid ( preparation of
CaENTI proposal)
New learning and searching places
by C. FILO 12/06/2005 Besancon
(presentation Prof. invité)
New challanges of
knowledge transfer in 21st
century in Hungary
by P. ACS – C. FILO / VE
COLLOQUE TIC & TERRITOIRE
: QUELS DEVELOPPEMENTS ?
Université de Franche Comté,
06/09/2006 Besançon
CooSpace by P. Acs / Annual conference of
Territorial Intelligence University "1er
Decembrie 1918” 09/20/2006 ALBA IULIA
3. Territorial Intelligence Service Cloud (TISC)
Background and Milestones
3
Theoretical
approach of
network
communication and
collaboration in
research by P. ACS /
2nd Annual
Conference CaENTI
10/25/2007 Huelva
Territorial and social
research actions and
info-communication
tools by P. ÁCS /
Seminar Territorial
Intelligence—Territorial
information, indicators
and tools, 05/29/2008
Pécs
Cooperative learning space in higher education by C.
FILO – P. ACS Conference Comparazione tra sistemi
educativi europei, 05/16/2008 Fisciano
Theoretical approach of territorial intelligence and
communication by P. ÁCS / International Conference
of Territorial Intelligence Tools and methods of Territorial
Intelligence / 10/17/2008 Besancon
4. Territorial Intelligence Service Cloud (TISC)
Background and Milestones
4
e-Support of research
actions by P. ACS - C.
FILO /IT-GO 03/25/2010
Nantes - Rennes
Culture is a cog-wheel of
economy - but how to
measure by P. Ács - C. FILO
/ Conference The
Question of
interdisciplinarity in
Territorial Intelligence
10/13/2011 Gatineau
Service Cloud for
INTI by P. ACS - C.
FILO / Colloque
Regional dynamics
and social
economics
03/22/2012 Tours
Service Cloud for
INTI by P. ACS - C.
FILO / Conference
Vulnerabilities
and Resilience
between Local
and Global
04/26/2012
Salerno
5. The base of the TISC concept has not been changed
6. What is new in the TISC concept?
The original concept of TISC was
developed in Besancon 2011
with MSHE at the Université de
Franche-Comté.
Information
Federative
authentication
integration
Data gathering
and map
visualization
Further network
data analysis
7. Authentication and authorization
• Split authentication and authorization issues from applications
• SAML – a protocol used for distributed authentication in academic &
education
• IdP – Identity provider (home
server where you are identified)
• SP – Service Provider (application
you use) – secure: no password
provided for SP!
IdP SP
browser
user
accessAuth.
assertion
trust
Federative
authentication
integration
9. Advantages
• SAML provides SSO
• We can use existing IdP-s & National Federations – No need for new
password issues
• TISC may act as IdP for anybody who has not got home IdP
Federative
authentication
integration
10. Inter-federation connections
• EduGAIN: Géant 2 JRA5 workgroup
• Using „Bridging Elements”
• Remote federation appears as IdP or SP
• http://edugain.org/technical/status.php
Federative
authentication
integration
11. TISC Data visualization
• NewGroupType: referenced area
• Describes a shape of geolocation area members can enter data related with
Data and visualization
template
Reference area Person Reference date Place (geoloc) Named Data
17,5
survey
…
Template:
What kind of data and how
to visualize?
Data gathering
and map
visualization
12. Template possibilities
• Data structure
• Named values per each base area
• Places and named values per base area
• …
• Visualization
• For each value
• Display as text in the middle of the area (a.)
• Show value as color of base area (b.)
• Show value as symbol size in the middle of the area (c.)
• Show value as symbol size at a position (d.)
• Show value as text at a position
• Show values as area density coloring interpolation in the
area (f.)
Data gathering
and map
visualization
Ormánság
50%
30-40%
20-30%
10-20%
a.
b.
c.
d.
f.
13. Map service architecture
browser
TISC
OpenLayers
visualizer
Tile Map
Service
Data with
geolocation
Gmaps
OSM
Other Tile Map Services Other Applications
Data with
geolocation
External TMS
layer visualizer
External
OpenLayers
visualizer
Solid: interface defined in TISC
Dashed: standard interface
Green: open access
Red: trusted access
WS
Data gathering
and map
visualization
14. Territorial Intelligence Service Cloud
(TISC)
14
Further netwok
data analysis
Analyzing of connections
(How and what?)
•What kind of connections is possible?
•What sort of levels and types?
•What is the strength of links?
•How it changes over time?
•How could we measure?
•Can we measure them at all?
•How could we analyze them?
•How many links are in a given
network?
15. Territorial Intelligence Service Cloud
(TISC)
15
Further netwok
data analysis
What is the aim?
What do we want to see?
What kind of tools do we have?
What data are available?
Clique (graph theory)
MDS, Clustering (statistical analysis)
Knowledge Management (complexity science, information theory, social network analysis, etc.)