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Creation of visualizations
based on Linked Data
Alvaro Graves
gravea3@rpi.edu - @alvarograves
Tetherless World Constellation
Rensselaer Polytechnic Institute
1
Thursday, June 20, 13
Agenda
• Challenges in Linked Data usage
• How to create an LOD visualization?
• User study
• Conclusions
2
Thursday, June 20, 13
Challenges in Linked
Data usage
3
Thursday, June 20, 13
Good and bad news about
Linked Data
• Good:
• Billions of triples available on the Web
• Lots of information about people, events, places,
etc.
• Not so good:
• Not a lot people outside the Semantic Web
community find it usable
4
Thursday, June 20, 13
Who are the users?
• People with domain expertise, not technical
• Journalists
• Scientists (Bio-, Chemo-, X-Informaticians)
• Novice Semantic Web students
• People who want an easy/rapid way to
understand certain aspects of LOD datasets
5
Thursday, June 20, 13
Challenges
• What is needed for non-technical users to consume
and explore Linked Data?
• How can we empower domain experts that lack
experience with Linked Data?
6
Idea: Use of visualizations can
simplify consumption of Linked Data
Thursday, June 20, 13
WhyVisualizations?
• Visual inspection of data
is helpful
• Can help to detect
trends and outliers
• It is easy to share and
consume for non data
experts
7
Anscombe’s quartet
“Attractions in Berlin”
Thursday, June 20, 13
How to create an
LOD visualization?
8
Thursday, June 20, 13
Visualization workflow
9
2) Visualization step 3) Sharing step
(optional)
1) Query step
Query
writing
Query
testing
Creationg of
visualization
Sharing
Thursday, June 20, 13
Visualbox
• “Easy Linked Data
visualizations”
• Integrated environment
to create visualizations
based on LOD
• Makes use of available
SPARQL endpoints
• Provides 14 types of
visualizations out-of-the-
box
10
Thursday, June 20, 13
1 - Existing visualizations
2 - Query editor
3 -Visualization Editor
4 -Visualization helper
Visualbox
11
5 - Buttons for query testing
6 - Query testing results
7 - Sharing buttons
Thursday, June 20, 13
Mozilla Festival
• TestedVisualbox
against real users
• Most of them never
heard about Linked
Data
12
Thursday, June 20, 13
Feedback from
Mozilla Festival
• Positive: Most people evaluated it as a great
experience for learning about Linked Data and
visualizations
• Negative: Most people found hard to even start
working with SPARQL
• Unsure about the syntax
• Unsure “what’s in there” in an endpoint
13
Thursday, June 20, 13
User study
14
Thursday, June 20, 13
User study
• People with basic to medium knowledge of
SPARQL and Linked Data
• Participants watched an introductory video
• Used think aloud approach
• Three tasks, visualizations based on DBpedia
• Ex-post subjective evaluation
15
Thursday, June 20, 13
Results
• Most of the time (5-10 min.) was focused on
creating and debugging SPARQL query
• Once the query was ready, the rest of the
process was very short (1-2 min.)
16
Thursday, June 20, 13
Participant’s feedback
• Positive: Visualbox makes it easy to create
visualizations
• Much easier than doing it from scratch
• Add features to power users
• Negative: Creation of SPARQL query
• One size does not fit all
17
Thursday, June 20, 13
Possible solutions
• Syntax assistance
• Namespaces and prefixes
• Improved syntax highlighting
• Recommendations/suggestions based on:
• Endpoint’s content
• What others have queried
• Other existing visualizations
18
Thursday, June 20, 13
Conclusions
• Creating LOD visualizations is a two-step process:
• Query creation
• Visualization development
• Visualbox provides an integrated environment for the
first step
• It reduces the effort for the second step
• There are open challenges in helping users to create
SPARQL queries
19http://visualbox.org - gravea3@rpi.edu - @alvarograves
Thursday, June 20, 13

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Creation of visualizations based on Linked Data

  • 1. Creation of visualizations based on Linked Data Alvaro Graves gravea3@rpi.edu - @alvarograves Tetherless World Constellation Rensselaer Polytechnic Institute 1 Thursday, June 20, 13
  • 2. Agenda • Challenges in Linked Data usage • How to create an LOD visualization? • User study • Conclusions 2 Thursday, June 20, 13
  • 3. Challenges in Linked Data usage 3 Thursday, June 20, 13
  • 4. Good and bad news about Linked Data • Good: • Billions of triples available on the Web • Lots of information about people, events, places, etc. • Not so good: • Not a lot people outside the Semantic Web community find it usable 4 Thursday, June 20, 13
  • 5. Who are the users? • People with domain expertise, not technical • Journalists • Scientists (Bio-, Chemo-, X-Informaticians) • Novice Semantic Web students • People who want an easy/rapid way to understand certain aspects of LOD datasets 5 Thursday, June 20, 13
  • 6. Challenges • What is needed for non-technical users to consume and explore Linked Data? • How can we empower domain experts that lack experience with Linked Data? 6 Idea: Use of visualizations can simplify consumption of Linked Data Thursday, June 20, 13
  • 7. WhyVisualizations? • Visual inspection of data is helpful • Can help to detect trends and outliers • It is easy to share and consume for non data experts 7 Anscombe’s quartet “Attractions in Berlin” Thursday, June 20, 13
  • 8. How to create an LOD visualization? 8 Thursday, June 20, 13
  • 9. Visualization workflow 9 2) Visualization step 3) Sharing step (optional) 1) Query step Query writing Query testing Creationg of visualization Sharing Thursday, June 20, 13
  • 10. Visualbox • “Easy Linked Data visualizations” • Integrated environment to create visualizations based on LOD • Makes use of available SPARQL endpoints • Provides 14 types of visualizations out-of-the- box 10 Thursday, June 20, 13
  • 11. 1 - Existing visualizations 2 - Query editor 3 -Visualization Editor 4 -Visualization helper Visualbox 11 5 - Buttons for query testing 6 - Query testing results 7 - Sharing buttons Thursday, June 20, 13
  • 12. Mozilla Festival • TestedVisualbox against real users • Most of them never heard about Linked Data 12 Thursday, June 20, 13
  • 13. Feedback from Mozilla Festival • Positive: Most people evaluated it as a great experience for learning about Linked Data and visualizations • Negative: Most people found hard to even start working with SPARQL • Unsure about the syntax • Unsure “what’s in there” in an endpoint 13 Thursday, June 20, 13
  • 15. User study • People with basic to medium knowledge of SPARQL and Linked Data • Participants watched an introductory video • Used think aloud approach • Three tasks, visualizations based on DBpedia • Ex-post subjective evaluation 15 Thursday, June 20, 13
  • 16. Results • Most of the time (5-10 min.) was focused on creating and debugging SPARQL query • Once the query was ready, the rest of the process was very short (1-2 min.) 16 Thursday, June 20, 13
  • 17. Participant’s feedback • Positive: Visualbox makes it easy to create visualizations • Much easier than doing it from scratch • Add features to power users • Negative: Creation of SPARQL query • One size does not fit all 17 Thursday, June 20, 13
  • 18. Possible solutions • Syntax assistance • Namespaces and prefixes • Improved syntax highlighting • Recommendations/suggestions based on: • Endpoint’s content • What others have queried • Other existing visualizations 18 Thursday, June 20, 13
  • 19. Conclusions • Creating LOD visualizations is a two-step process: • Query creation • Visualization development • Visualbox provides an integrated environment for the first step • It reduces the effort for the second step • There are open challenges in helping users to create SPARQL queries 19http://visualbox.org - gravea3@rpi.edu - @alvarograves Thursday, June 20, 13