Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

How Could End-Users Identify Interesting Resources?

464 views

Published on

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

Published in: Technology, Education
  • Be the first to comment

  • Be the first to like this

How Could End-Users Identify Interesting Resources?

  1. 1. Madrid, 14.06.2013 Martin Voigt How Could End-Users Identify Interesting Resources? Attract them visually!
  2. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 13. Titel der Präsentation Folie Nr. 13 von XYZHow to find interesting resources? | Martin Voigt 13 User Interface Concept 14.06.2013
  14. 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. 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. 16. Titel der Präsentation Folie Nr. 16 von XYZHow to find interesting resources? | Martin Voigt 16 User Interface Concept 14.06.2013
  17. 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. 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. 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. 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. 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. 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. 23. Titel der Präsentation Folie Nr. 23 von XYZHow to find interesting resources? | Martin Voigt 23 Thanks for listening. Questions? 14.06.2013
  24. 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

×