Presentation of the project status of eViss being part of the eScience network Please download the slides, since the slideshare player seems to have some problems with the animated slides and some characters.

1. Developing a Web-based RDF Visualisation
Framework and Instantiating it as a Publication
Visualisation Service
Aufbau eines webbasierten RDF-Visualisierungsframeworks
und Instanziierung als sächsischer Publikations-
Visualisierungsdienst
Jan Polowinski, June 11th 2013
jan dot polowinski at gmail dot com
HTWK Leipzig / IMN

2. 2/26
Outline
• Motivation
• Summary of the project context
• Current status of the project
• Next steps

3. 3/26
(Assumed) Problems in Literature Search
• Information Overflow in the field of publications
• Relevant Papers can be overlooked
• Hard to judge: When to stop?

4. VISUALISATION
4/26

5. 5/26
Hypothesis
Today‘s visualisation tools are not actually used by
researchers in their daily literature search, because
they suffer from the following technical/political
problems:

6. Problems
6/26
„Silos“ of data:
Lack of linked open bibliographic data services
Not all visual means exploited
Citationgraphs are rarely available
and not typed

7. General Goal: Improve and Speed up Scientific
Research by Visualisation
Literature searchers can
• Overview new fields
• Identify „best“ documents
• Understand document context
Librarians, writers of project proposals can
• Classify new documents
• Spot neglected research areas
7/26

8. Web-based
Visualisation
Framework
for
eScience
Instantiate
Project Context –
PHD Project by Jan Polowinski on Ontology-Driven
Guided Visualisation for RDS/OWL Data

9. IMPLEMENTATIONANALYSIS
Current Status of the Project
• Instantiation of the approach as a web-
based framework (eViss)
9/26

10. IMPLEMENTATIONANALYSIS
Current Status of the Project
• What data to visualise?
• How to visualise effectively?
• Preparing and executing a survey
• Instantiation of the approach as a web-
based framework (eViss)
10/26Source: http://cluster.cis.drexel.edu/~cchen/citespace/

11. Survey: How do Researchers at TU Dresden do
(Electronic) Literature Search?
• supported by
• Sächsische Landesbibliothek – Staats- und Universitätsbibliothek Dresden (SLUB)
• Institut für Kommunikationswissenschaften, TUD
11/26

12. Survey
Preparation and
Execution
• 2 groups:
• Students
• Research Staff
• -
12/26

13. Experiences
with existing
visualisations
• Are they used?
• Are users satisfied?
• -
13/26

14. Context-
Questions
• Media Usage
• Do researchers
prefer electronic
or print media for
reading / taking
notes /
reviewing?
• Research
Experience
• -
14/26

15. Survey – Results
• Completed questionaires
• 941 from 1254 (Students)
• 279 from 338
(Research Staff)
• 477 additional (free text)
comments
 Great interest
• First results ...
15/26

16. Students: Do you Know / Use CiteSpace
(a complex visualization suite for citation data)
16/26
3%
>1 %
I don‘t know it
I know, it but I don‘t use it
I use it

17. IMPLEMENTATIONANALYSIS
Current Status of the Project
• What to visualise?
• How to visualise effectively?
• Preparing and executing the survey
• Instantiation of the approach as a web-
based framework (eViss)
17/26

18. Implementing the eViss Framework for the eScience
Platform
Basis: OntoWiki
• Web-based editor for RDF
• Developed at Uni Leipzig (2006)
+ Plugins
• Guidance for effective visualisations
• Generating visualisations (based on D3.js)
• Supported by Student work of Pooran Patel
18/26

19. 19/26
• Manage and edit
visualization
settings

20. Plug-In: Guidance for Effective Visualisations
by Error Messages and Warnings
20/26

21. Plug-In: Generating Graphics
- Collapsible Tree
21/26

22. Plug-In: Generating Graphics – Tree Map
22/26

23. Plug-In: Generating Graphics
– Simple Composition
23/26
• Lightness
• Shape
• Size

24. Summary and Conclusion
• We instantiated a highly flexible visualisation
approach for the eScience platform as eViss
• Use eViss for publication data
• Linked Publication Data Sources are emerging
right now but not yet fully usable
• Survey is a contribution on ist own: Many insights
on how literature search is done today
24/26

25. IMPLEMENTATIONANALYSIS
Next Steps
• What to visualise?
• How to visualise effectively?
• Preparing and executing the survey
• Completing the survey evaluation
• Drawing conclusion for the choice of
graphics
• Instantiation of the approach as a web-
based framework (eViss)
• Setting up the Framework for publication
data
• Preparation of suitable graphic
representations
25/26

26. END/DISCUSSION
http://www-st.inf.tu-dresden.de/semvis/blog/
 jan.polowinski at tu-dresden.de
BACKUP SLIDES 

27. Acknowledgements
• This research has been co-funded by the European Social Fond / Free State of Saxony,
contract no. 1330674013 (eScience – network).
• Timeline of SW-events created by using the SIMILE Timeline: http://www.simile-
widgets.org/timeline/ ; Dates: Wikipedia / official Websites
• Screenshots of Tools:
• CiteSpace: http://cluster.cis.drexel.edu/~cchen/citespace/
27/26
BACKUP SLIDES 

28. BACKUP SLIDES

29. 29/26
Tablets/e-Ink
Bibliographic-
Ontologies
Crowd-
sourcing
Open Access
+ Enhanced
Publications
Linked (Open)
Data
Visualisation
SemVis
PhD Project
Ontology driven
visualisation
Literature-
Recherche-
Tools
Publication
Visualisation
Web-based
RDF
Visualisation-
framework
(Internal)
structured
data
Context of the Project

30. What to Visualise?
BASIC DATA
• Bibliographic-Data
 Title
 Abstract
 Author
 ...
• Simple Citation Relations
• Derived:
 Co-Autor
 Co-Citation
OPTIONAL
• Financing (Potential influence)
• Typed Citation Relations
• summarizes
• criticises
• confirmes
• disproves
30/26
somehow cites
has disproved
disproved by

31. How to visualise beyond node-link diagrams?
s
Publica on
E
Publica on
F
Publica on
G
Publica on B
Publica on
C
Publica on A
A builds on B …
Publica on A
(discusses B)
Publica on B
Publica on C
(confirms A;
cri ques B)
can be seen as an area
connector
31/26
Class Book A
Book A

32. Evaluation
• Test cases of literature-recherche
• Two groups for comparison
• e.g., Google Scholar vs. Visualisation
32/26