1. © Anselm Spoerri Lecture 10 Visual Tools for Text Retrieval (cont.)

2. © Anselm Spoerri How to Use Visualization to Support Retrieval Source Thomas Mann (PhD Thesis Uni of Konstanz) Visualization of search results from the World Wide Web http://www.ub.uni-konstanz.de/v13/volltexte/2002/751//pdf/Dissertation_Thomas.M.Mann_2002.V.1.07.pdf

3. © Anselm Spoerri Visualization of Document Attributes

4. © Anselm Spoerri Document Visualization Text not pre-attentive Text = Abstract Concepts = Very High Dimensionality –Multiple & ambiguous meanings –Combinations of abstract concepts more difficult to visualize –Different combinations imply different meanings –Language only hints at meaning  based on common understanding “How much is that doggy in the window?” Facilitate Information Retrieval –Collection Overview –Visualize which parts of query satisfied by document / collection –Understand why documents retrieved Cluster Documents Based on Words in Common –Finds overall similarities among groups of documents –Picks out some themes, ignores others Map Clusters onto 2D or 3D Representation –Minimize time/effort to decide which documents to examine

5. © Anselm Spoerri Visualization of Document Attributes Thumbnails SeeSoft

6. © Anselm Spoerri Visualization of Document Attributes  Document Lens Problem: Text can be too small to read  Focus + Context Fisheye Distortion Does it work?

7. © Anselm Spoerri Visualization of Document Attributes  Perspective Wall

8. © Anselm Spoerri Visualization of Document Attributes  Bar Graphs [Veerasamy 1996] / [Veerasamy, Belkin 1996]

9. © Anselm Spoerri Visualization of Document Attributes  Stacked Bar Graphs VQRa of the WInquery system [Shneiderman, Byrd, Croft 1997]

10. © Anselm Spoerri Visualization of Document Attributes  NIRVE & R-Wheels

11. © Anselm Spoerri Visualization of Document Attributes  NIRVE

12. © Anselm Spoerri Visualization of Document Attributes  NIRVE

13. © Anselm Spoerri Visualization of Document Attributes  RankSpiral

14. © Anselm Spoerri Visualization of Document Attributes  RankSpiral

15. © Anselm Spoerri Visualization of Document Attributes  TileBars

16. © Anselm Spoerri Visualization of Document Attributes  Table Lens

17. © Anselm Spoerri Visualization of Document Attributes  Parallel Coordinates

18. © Anselm Spoerri How to Use Visualization to Support Retrieval

19. © Anselm Spoerri Visualization of Inter-Document Similarities

20. © Anselm Spoerri Visualization of Inter-Document Similarities  DataMountain Download VideoDownload Video (30MB+ … will take a while) or http://www.scils.rutgers.edu/~aspoerri/Teaching/InfoVisResources/videos/http://www.scils.rutgers.edu/~aspoerri/Teaching/InfoVisResources/videos/ and right click on “datamtn.mpeg” and save

21. © Anselm Spoerri Visualization of Inter-Document Similarities  VIBE

22. © Anselm Spoerri Visualization of Inter-Document Similarities  Visual Who

23. © Anselm Spoerri Visualization of Inter-Document Similarities  Cluster Bull’s Eye Radial Mapping - Radius = Total Ranking - Angle Reflects Rankings Size = Rankings by Engines Google Teoma AltaVista Lycos MSN

24. © Anselm Spoerri Visualization of Inter-Document Similarities  Grokker Grokker

25. © Anselm Spoerri Visualization of Inter-Document Similarities  Galaxy of News

26. © Anselm Spoerri

28. Visualization of Inter-Document Similarities  Self-Organizing Map

29. © Anselm Spoerri Visualization of Inter-Document Similarities  Map.net Using VisualNet developed by www.antarctica.netwww.antarctica.net

30. © Anselm Spoerri Visualization of Inter-Document Similarities  Kartoo KartooKartoo - KvisuKvisu

31. © Anselm Spoerri Visualization of Inter-Document Similarities  ThemeScapes

32. © Anselm Spoerri Example: Themescapes (Wise et al. 95)

33. © Anselm Spoerri Visualization of Inter-Document Similarities  ThemeScape

34. © Anselm Spoerri Visualization of Inter-Document Similarities  ThemeScape Acquired by MicroPatent and called AurekaAureka

35. © Anselm Spoerri Visualization of Inter-Document Similarities  Lighthouse

36. © Anselm Spoerri Visualization of Inter-Document Similarities  Lighthouse Cluster Hypothesis – related documents relevant to same requests and should be in close spatial proximity.