KIT – Universität des Landes Baden-Württemberg und nationales Forschungszentrum in der Helmholtz-Gemeinschaft www.kit.edu Using the example of the SMW Surgipedia Visualization of Semantic Relations: The Knowledge Base Visualizer Tutor: Benedikt Kämpgen (KIT) Student: Tim Stein
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Visualisualisation of Semantic Relations, Tim Stein, SMWCon Fall 2014
Based on VisualRDF, the Knowledge Base Visualizer (see demo below) allows to visualize RDF-data delivered from a SPARQL-Endpoint as a netzwork-graph. It is possible, to filter nodes and links via and their apperance (color, shape, size) via two seperate SPARQL-queries completely customizable.
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KIT – Universität des Landes Baden-Württemberg und
nationales Forschungszentrum in der Helmholtz-Gemeinschaft www.kit.edu
Using the example of the SMW Surgipedia
Visualization of Semantic Relations:
The Knowledge Base Visualizer Tutor: Benedikt Kämpgen (KIT)
Student: Tim Stein
FZI, AIFB - Seminar Entwicklung betrieblicher
Informationssysteme
3
Motivation
Surgipedia is a SMW to organize and structure
knowledge and terminologies of
„SFB/Cognition-Guided Surgery“
Many Semantic Relations, authors, pages,…
Emerging Questions:
Which Ontologies are widely spread and used?
Who is working on project A, B, C…?
What are the most interconnected people on the SMW?
…
Tim Stein – Vertrauen und Sicherheit im E-Commerce
02.10.2014
FZI, AIFB - Seminar Entwicklung betrieblicher
Informationssysteme
4
The answers are alreadystored in semantic
relations. But not easily readable.
SPARQL-Input: („Show all participants connected with project A01“)
Output:
Tim Stein – Sicherheit und Vertrauen im E-Commerce 02.10.2014