1. Visualizing Information: Using WebTheme to Visualize Internet Search Results Karen Buxton and Mary Frances Lembo The Value of Information: American Society for Information Science Pacific Northwest Chapter Fall Meeting Sept. 20-21, 2002 PNNL-SA-36456

2. 2 Presentation Overview Brief Overview of Information Visualization Introduction to WebTheme Preparing a WebTheme Query Exploring a Dataset Question & Answer

3. 3 Information Visualization What is an information visualization? Visual representation of data, which allows the user to navigate through large datasets more quickly and gain additional insight about the data. What types of data can be used? Text Image Data Numerical Data. Etc.

4. 4 How Is Information Visualization Used? Battlefield Awareness Business Intelligence Enterprise Knowledge Management Environmental Security Intellectual Asset Management Intelligence Analysis Law Enforcement Market Assessment Medical Informatics Medical Research Nuclear Non-Proliferation Research Program Management Science and Technology Scanning Translingual Text Analysis

5. 5 Information Visualization at PNNL Analyzes large volumes of text Displays related documents and themes as star clusters and terrain maps SPIRE Related Technologies WebTheme Galaxies ThemeView Correlation Tool Starlight

6. 6 What is WebTheme? Web-enabled version of SPIRE Harvests data from the World Wide Web by using search terms, or following links derived from user specified URLs

7. 7 LicensingLicensing Government Agencies (NOT Contractors) WebTheme use agreement available at no cost! Installation and training agreement available for a fee Non-Governmental Organizations Negotiate a contract Recommend installation and training agreement

8. 8 Why Use WebTheme? Investigate and characterize websites Investigate a new technology Find key players in a particular field Find opportunities for Collaboration

9. 9 Using WebTheme Preparing a WebTheme Query Planning a Query Creating a Dataset Exploring a Dataset Using WebTheme Tools Exploring a Galaxy Exploring ThemeView

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11. 11 Planning a WebTheme Query Decide How to Gather the Data Experiment with Search Engine Queries Google Altavista Examine Search Results Modify Query If Needed Exploration of the Site or Links URL List

12. 12 WebThemeWebTheme

13. 13 Create a New Data Set

14. 14 Create a Search Query or Follow a URL List?

15. 15 Harvest Settings

16. 16 Advanced Options for Harvesting

17. 17 FiltersFilters

18. 18 ProcessingProcessing

19. 19 Galaxies Layout White Dots = Documents Location Has Meaning Proximity Distance Degree of Thematic Concentration Topic Strength & Number of Documents Galaxies Clouds = ThemeView Mountains Note Instructions at Bottom of Window

20. 20 WebTheme Toolbar

21. 21 Exploring Galaxies Cluster Centroids: Click on Centroid Circle to See Cluster Terms Thematic Labels Indicate Dominant Themes in Clouds

22. 22 Viewing Document Titles Select Click + S icon Drag Select to Choose a Group of Documents View Document Titles Click + Ab icon Click on dots to reveal titles

23. 23 Viewing Documents Document Viewer Search for Words in a Document View in Browser

24. 24 Link Mode Must Turn on Link Mode BEFORE Processing Arrows Indicate Links from One Page to Another Circle Indicates No Links from Page

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26. 26 Probe Tool To Use, Select the Probe Button ( + P) Left Click to Probe Region. Shows a Graphical Representation of Topics at Designated Location Value Indicates Relative Topic Strength

27. 27 Gisting Tool To Use Select Documents to Gist Click the Gist Button (% ) Shows Top 50 Topics in Selected Documents: Identify Terms of Interest Copy Terms to Clipboard Window

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29. 29 Query Tool Word Query Selects Documents that Contain All Query Words Click Group Results to create a set that contains search terms

30. 30 Query Tool Query By Example Looks for text similar to the example Determines Location of Greatest Term Strength Use Slider to Increase Number Selected

31. 31 Group Tool Create subsets Retrieved from Query Selected in Galaxy Dots Change Color to Reflect Group Membership Combine Sets Select Disjunction Intersection Union

32. 32 ThemeViewThemeView

33. 33 When to Reprocess You Get Too Many Clusters that Are Too Similar Reduce Number of Clusters Requested You Get Big Clusters with Too Many Unrelated Documents Increase Number of Clusters Requested

34. Questions? Mary Frances Lembo mf.lembo@pnl.gov Karen Buxton karen.buxton@pnl.gov Battelle U.S. Department of Energy Pacific Northwest National Laboratory