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How Could End-Users Identify Interesting Resources?

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Slides of my talk at the HSWI workshop about a concept allowing users to identify interesting resources on objective facets.

Slides of my talk at the HSWI workshop about a concept allowing users to identify interesting resources on objective facets.

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  • 1. Madrid, 14.06.2013 Martin Voigt How Could End-Users Identify Interesting Resources? Attract them visually!
  • 2. Titel der Präsentation Folie Nr. 2 von XYZHow 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 14.06.2013
  • 3. Titel der Präsentation Folie Nr. 3 von XYZHow to find interesting resources? | Martin Voigt 3 Growing amount of data Motivation 14.06.2013 [Key2012]
  • 4. Titel der Präsentation Folie Nr. 4 von XYZHow to find interesting resources? | Martin Voigt 4 How to get insights from the data? Motivation 14.06.2013
  • 5. Titel der Präsentation Folie Nr. 5 von XYZHow to find interesting resources? | Martin Voigt 5 How to get insights from the data? Information Visualization! Motivation 14.06.2013
  • 6. Titel der Präsentation Folie Nr. 6 von XYZHow to find interesting resources? | Martin Voigt 6 Motivation BUT 14.06.2013 InfoVis for Semantic Web data?
  • 7. Titel der Präsentation Folie Nr. 7 von XYZHow to find interesting resources? | Martin Voigt 7 Problem End-users have no idea about creating effective InfoVis and have no programming skills. 14.06.2013
  • 8. Titel der Präsentation Folie Nr. 8 von XYZHow 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] 14.06.2013 Data Upload Data Pre- Selection Data & Vis Selection Visualization Configuration Perception & Internalization Data Augmentation Visualization Recommendation Visualization Integration Knowledge Externalization Data Reduction SystemUser Human Interaction System Interaction 31 5 7 9 2 4 6 8 10 Data Upload Data Pre- Selection Data & Vis Selection Visualization Configuration Perception & Internalization User Human Interaction 31 5 7 9
  • 9. Titel der Präsentation Folie Nr. 9 von XYZHow to find interesting resources? | Martin Voigt 9 Main problems to solve 1st: Interactive, understandable user interface 2nd: Backend techniques to identify relevant resources 14.06.2013
  • 10. Titel der Präsentation Folie Nr. 10 von XYZHow 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 14.06.2013
  • 11. Titel der Präsentation Folie Nr. 11 von XYZHow to find interesting resources? | Martin Voigt 11 User Interface Concept Prerequisites - Visualization node link diagrams vs. nested views insufficient screen estate  interaction required 14.06.2013
  • 12. Titel der Präsentation Folie Nr. 12 von XYZHow to find interesting resources? | Martin Voigt 12 User Interface Concept Prerequisites - Interaction use widely adapted techniques 14.06.2013
  • 13. Titel der Präsentation Folie Nr. 13 von XYZHow to find interesting resources? | Martin Voigt 13 User Interface Concept 14.06.2013
  • 14. Titel der Präsentation Folie Nr. 14 von XYZHow 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 14.06.2013
  • 15. Titel der Präsentation Folie Nr. 15 von XYZHow 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 14.06.2013
  • 16. Titel der Präsentation Folie Nr. 16 von XYZHow to find interesting resources? | Martin Voigt 16 User Interface Concept 14.06.2013
  • 17. Titel der Präsentation Folie Nr. 17 von XYZHow 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 14.06.2013
  • 18. Titel der Präsentation Folie Nr. 18 von XYZHow 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 14.06.2013
  • 19. Titel der Präsentation Folie Nr. 19 von XYZHow to find interesting resources? | Martin Voigt 19 Assisting Backend Implementation • Java Jersey REST WS • Jena TDB • RMonto & RapidMiner • JGraphT 14.06.2013 Data Repository Storage, Filtering, Recommendation Augmentation Data Access Analyzer Storage Annotator RESTful API Pivoting Filter upload get | filter 1 2 3
  • 20. Titel der Präsentation Folie Nr. 20 von XYZHow 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
  • 21. Titel der Präsentation Folie Nr. 21 von XYZHow 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 14.06.2013
  • 22. Titel der Präsentation Folie Nr. 22 von XYZHow 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 14.06.2013
  • 23. Titel der Präsentation Folie Nr. 23 von XYZHow to find interesting resources? | Martin Voigt 23 Thanks for listening. Questions? 14.06.2013
  • 24. Titel der Präsentation Folie Nr. 24 von XYZHow 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 14.06.2013

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