how could end-users identify interesting resources?
DESCRIPTION
Slides of my talk at the HSWI workshop about a concept allowing users to identify interesting resources on objective facets.TRANSCRIPT
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Madrid, 14.06.2013 Martin Voigt
How Could End-Users Identify Interesting Resources?
Attract them visually!
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Titel der Präsentation Folie Nr. 2 von XYZ How to find interesting resources? | Martin Voigt 2
Structure
Motivation and problems
Iterative development of a user interface
Demo
Concept and implementation of a back-end
Conclusion
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Titel der Präsentation Folie Nr. 3 von XYZ How to find interesting resources? | Martin Voigt 3
Growing amount of data
Motivation
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[Key2012]
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Titel der Präsentation Folie Nr. 4 von XYZ How to find interesting resources? | Martin Voigt 4
How to get insights from the data?
Motivation
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Titel der Präsentation Folie Nr. 5 von XYZ How to find interesting resources? | Martin Voigt 5
How to get insights from the data?
Information Visualization!
Motivation
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Titel der Präsentation Folie Nr. 6 von XYZ How to find interesting resources? | Martin Voigt 6
Motivation
BUT
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InfoVis for Semantic Web data?
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Titel der Präsentation Folie Nr. 7 von XYZ How to find interesting resources? | Martin Voigt 7
Problem
End-users have no idea about creating effective InfoVis and have no programming skills.
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Titel der Präsentation Folie Nr. 8 von XYZ How to find interesting resources? | Martin Voigt 8
Overall concept of VizBoard
Semantic-assisted InfoVis-Process [Voigt2013]
How to find interesting resources?
objective vs. subjective interestingness [Silberschatz1996]
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Data UploadData Pre-Selection
Data & VisSelection
Visualization Configuration
Perception & Internalization
Data Augmentation
Visualization Recommendation
Visualization Integration
Knowledge Externalization
Data Reduction
Syst
em
Use
r
Human Interaction
System Interaction
31 5 7 9
2 4 6 8 10
Data UploadData Pre-Selection
Data & VisSelection
Visualization Configuration
Perception & InternalizationU
ser
Human Interaction
31 5 7 9
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Titel der Präsentation Folie Nr. 9 von XYZ How to find interesting resources? | Martin Voigt 9
Main problems to solve
1st: Interactive, understandable user interface
2nd: Backend techniques to identify relevant resources
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Titel der Präsentation Folie Nr. 10 von XYZ How to find interesting resources? | Martin Voigt 10
Structure
Motivation and problems
Iterative development of a user interface
Demo
Concept and implementation of a back-end
Conclusion
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Titel der Präsentation Folie Nr. 11 von XYZ How to find interesting resources? | Martin Voigt 11
User Interface Concept
Prerequisites - Visualization
node link diagrams vs. nested views
insufficient screen estate interaction required
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Titel der Präsentation Folie Nr. 12 von XYZ How to find interesting resources? | Martin Voigt 12
User Interface Concept
Prerequisites - Interaction
use widely adapted techniques
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Titel der Präsentation Folie Nr. 13 von XYZ How to find interesting resources? | Martin Voigt 13
User Interface Concept
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Titel der Präsentation Folie Nr. 14 von XYZ How to find interesting resources? | Martin Voigt 14
User Interface Concept
User Study - Setup
Task Load Index to track efforts, e.g., mental or temporal
10 tasks based on “Visual Information-seeking Mantra” [Shneiderman1996]
Questionnaire for additional feedback
10 students with less/no SemWeb knowledge
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Titel der Präsentation Folie Nr. 15 von XYZ How to find interesting resources? | Martin Voigt 15
User Interface Concept
User Study – Results
+ node link to get to know the data structure
+ navigation history and bookmarking helpful
- too much information shown
- too many options
- SW knowledge required
functionality vs. user satisfaction
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Titel der Präsentation Folie Nr. 16 von XYZ How to find interesting resources? | Martin Voigt 16
User Interface Concept
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Titel der Präsentation Folie Nr. 17 von XYZ How to find interesting resources? | Martin Voigt 17
Structure
Motivation and problems
Iterative development of a user interface
Demo
Concept and implementation of a back-end
Conclusion
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Titel der Präsentation Folie Nr. 18 von XYZ How to find interesting resources? | Martin Voigt 18
Structure
Motivation and problems
Iterative development of a user interface
Demo
Concept and implementation of a back-end
Conclusion
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Titel der Präsentation Folie Nr. 19 von XYZ How to find interesting resources? | Martin Voigt 19
Assisting Backend
Implementation
• Java Jersey REST WS
• Jena TDB
• RMonto & RapidMiner
• JGraphT
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Data Repository
Storage, Filtering, Recommendation
Augmentation
Data Access
Analyzer
Storage
Annotator
RESTful API
Pivoting
Filter
upload get | filter
1 2
3
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Titel der Präsentation Folie Nr. 20 von XYZ How to find interesting resources? | Martin Voigt 20
Structure
Motivation and problems
Iterative development of a user interface
Demo
Concept and implementation of a back-end
Conclusion
14.06.2013
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Titel der Präsentation Folie Nr. 21 von XYZ How to find interesting resources? | Martin Voigt 21
Sum it up!
End-user need assistances to identify interesting SemWeb resources (in big datasets)
Approach using objective measures, understandable visualizations, and easy interaction
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Titel der Präsentation Folie Nr. 22 von XYZ How to find interesting resources? | Martin Voigt 22
Sum it up!
SWIs for end-users should be task-specific as possible
less is more: interaction, information, SW intrinsics
Visualizing huge SW datasets in browsers is cumbersome
Current tasks
Subjective interestingness
Planning an advanced user study
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Titel der Präsentation Folie Nr. 23 von XYZ How to find interesting resources? | Martin Voigt 23
Thanks for listening. Questions?
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Titel der Präsentation Folie Nr. 24 von XYZ How to find interesting resources? | Martin Voigt 24
References
[Cyganiak2011] Cyganiak, R. & Jentzsch, A.: Linking Open Data cloud diagram. http://lod-cloud.net/, 2011
[Key2012] Key, A.; Howe, B.; Perry, D. & Aragon, C.: VizDeck: self-organizing dashboards for visual analytics. Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data, ACM, 2012, 681-684
[Shneiderman1996] Shneiderman, B.: The eyes have it: a task by data type taxonomy for information visualizations. Visual Languages, 1996. Proceedings., IEEE Symposium on, 1996, 336-343
[Silberschatz1996] A. Silberschatz, A. & Tuzhilin, A.: What makes patterns interesting in knowledge discovery systems. Knowledge and Data Engineering, IEEE Transactions on, 8(6):970 -974, dec 1996.
[Voigt2013] M. Voigt, S. Pietschmann, K. Meißner: A Semantics-Based, End-User-Centered Information Visualization Process for Semantic Web Data. Semantic Models for Adaptive Interactive Systems, Springer, 2013
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