Presenation of interactive and innovative Digital Research tool to browse data in the visual way with some requirements:
● Online presentation of strikes events should make its easy to track
and retrieve relevant data
● “Linked Data in action”: data from research datasets (Strikes
Database) and news articles (metadata) from the the Royal Library
(KB) linked together in order to create Semantic Web view
● Should help to answer researcher's questions in the most easiest way
by appropriate visualization of specific variables
● Should provide clear explanation of historical events by online
visualization tools like charts, maps and timelines
● To present data trends that may lead to new insights about facts and
events
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HiTIME visualization tools for strikes database
1. Vyacheslav Tykhonov
Data visualization expert,
Software developer,
International Institute of
Social History (IISH),
vty (at) iisg.nl
Kalliope Zervanou
Researcher, Radboud University
Nijmegen,
k.zervanou (at) let.ru.nl
Antal van den Bosch
Full professor, Centre for
Language Studies and CIW-
BC,Faculty of Arts, Radboud
University Nijmegen
a.vandenbosch (at) let.ru.nl
Marien van der Heijden
Project Manager, International
Institute of Social History
mvh (at) isg.nl
Visualization of Labour Conflicts in the Netherlands
HiTIME and ISHER, Digging into Data
2. Project challenge
• Development of interactive and innovative Digital Research tool to browse data in the visual way
• Online presentation of strikes events should make its easy to track and retrieve relevant data
• “Linked Data in action”: data from research datasets (Strikes Database) and news articles
(metadata) from the the Royal Library (KB) linked together in order to create Semantic Web
view
• Should help to answer researcher's questions in the most easiest way by appropriate visualization
of specific variables
• Should provide clear explanation of historical events by online visualization tools like charts, maps
and timelines
• To present data trends that may lead to new insights about facts and events
4. Data Sources
• The IISG Strikes database is a secondary historical resource created by the
historian Dr. Sjaak van der Velden (13721 records up to 2008)
https://collab.iisg.nl/web/labourconflicts/tabel
• Newspapers archive from the National Library of Netherlands (KB) is an
online collection of digitized Dutch daily newspapers dating from 1618 to
1995 (the digitized data is in XML format, following Dublin Core [5]
metadata standards.)
http://www.kb.nl
•
7. Linked Data
• Strike events that defined and described in the Strikes DB linked to
the news articles digitized by National Library (KB)
• Every link created by linking algorithm can be evaluated by hands or
automatically
• Wrong links can be changed or removed from the system
• Correct links between events and articles can be exported in
RDF/DCAT for further processing by Semantic Web tools
supporting SPARQL (in progress)
8. Robust and Interactive Web Interface
Chart view - interface for
interactive two-dimensional
view of linked aggregated
data in terms of time
Map view - interface for
interactive three-dimensional
view of linked aggregated data
in spacio-temporal terms
Timeline view - interface presenting interactive timeline and
providing access to/retrieval of linked news publications from
Royal Library
11. 12 variables from Strikes Database
visualized in time and space
Sector: industrial sector affected
Duur: strike duration in calendar days
AantalStakers: number of strike
participants
GestaakteDagen: man-days of strike lost,
in terms of man hours
AantalBetrokkenBedrijven: number of
companies involved
Voornamelijk: type of workers group
involved, e.g. women,young
workers, immigrants, etc.
Beroep: type of profession involved
Bond: trade union involved
Eisen: reason of the strike
Uitkomst: result of the strike (successful,
unsuccessful, settled, etc)
Karakter: strike character, i.e. supported by
a union, or spontaneous
Bedrijf: companies or other type of working
place entities involved
13. Linked Data Objectives
Interactive views of linked aggregated data
(charts, bars, graphs, pies, map)
Interactive visual access to the linked data
(timelines for new publications)
User is able to zoom in the detailed values of a year, a
month or a week
Interface types interconnected, so users can easily pass
from one view (chart, map, timeline) to the other