1. 1 Deep Web Searching Carl Heine, Ph.D. Illinois Mathematics and Science Academy

2. 2 Problem: Translating a question into a query Problem: Choosing the best database Problem: Finding better keywords Problem: Recognizing information that’s relevant Problem: Verifying the credibility of information Illinois Technology Standards for Teachers: 2, 6, 7, 8

3. 3 What digital natives don’t do wellWhat they tend to do instead Turn a question into a query Rush ahead toward an answer, either grabbing the whole question “as is” or missing an important part of it Select the ‘right’ database Enter words or phrases into Google Recognize information when they find it Rush past important information and clues, continue to browse Find better keywords Stick with their original words and browse Verify the credibility of information Accept what they find at face value, hoping somewhere in the information there is an answer

4. 4 1 Problem: Selecting the right Database  This failure occurs before submitting the first query.  Task: Predict where expert information may be found.  No search engine performs a live Internet search when you submit a query.  That which is stored in one search engine’s database is invisible to another search engine (also called Enterprise Data)

5. 5 1 Research Findings (IMSA second semester sophomores)  90% search with Google more than half of the time.  32% use Google exclusively. Problem: Selecting the right Database

6. 6 1 Modes of Searching  Table of Contents  Index  Flipping through the pages Subject Directory Search Engine Browsing (surfing)

7. 7 1 Subject Directory

8. 8 1 Search Engine

9. 9 1 Browsing

10. 10 1  Information that is stored in a different database than where you are searching now. Deep Web, Invisible Web  Information that is “buried” deeper in the abstracts than results from another database.

11. 11 1  Retrieval Speed e.g., Results 1 - 10 of about 111,000,000 (0.11 seconds)  HTTP Error 404 Evidence of Database Searching

12. 12 1  Robotic programs known as Crawlers or Spiders…  …Retrieve information from web pages…  …That is compiled into a database…  …Called out by queries passed through a search engine…  …Displayed as abstracts (snippets) Database Searching

13. 13 1  Information retrieved (Google):  Words in the  Characters in the URL  Words in the body  Links from this page to another page Database Searching  Information available (Google):  One or more Words in the  Characters in the URL  One or more Words in the body (except stop words)  Pages that link to this page Alternative Web Browsing

14. 14 1 Database Searching  Information available (Google):  One or more Words in the  Characters in the URL  One or more Words in the body (except stop words)  Pages that link to this page

15. 15 1 Strategies for navigating the Deep Web Making an educated prediction: 1. Where would an expert post the information? 2. Can Google google it?

16. 16 1 Strategies for navigating the Deep Web Where would an expert post the information?  Who might know the answer to my question?  Where could I find that person?

17. 17 1 Strategies for navigating the Deep Web Where would an expert post the information?  An obvious choice?  Keywords: + database  Instead of database, try archive, repository, historical, information, facts, almanac

18. 18 1 Strategies for navigating the Deep Web What classical composer's music is heard most often in movies?  An obvious choice?  Keywords: movie classical music database  OR information OR facts OR …?

19. 19 1 Strategies for navigating the Deep Web How many movies has John Williams, the classical guitarist, scored?  An obvious choice?  Keywords: ?? +database  OR information OR facts OR …?

20. 20 1 Strategies for navigating the Deep Web What airplane finished the Sport Qualifying race in second place at the Reno Air Races, September 11, 2002?  An obvious choice?  Keywords: ?? +database  OR information OR facts OR …?

21. 21 1 Strategies for navigating the Deep Web Can Google google it? Types of information that Google is NOT LIKELY to access: 1. Information stored behind a SEARCH BOX

22. 22 1 Strategies for navigating the Deep Web Can Google google it? Types of information that Google is NOT LIKELY to access: 2. Information stored behind a PASSWORD Investors.com

23. 23 1 Strategies for navigating the Deep Web Can Google google it? 3. Other types of information that Google is NOT LIKELY to access:

24. 24 1 Strategies for navigating the Deep Web Page Not Found www.archive.org

25. 25 1 How, When and Where can Deep Web searching skills be taught? Performance skills require hands-on practice  Interactive tutorials (example: Can Google google it?)Can Google google it  MicroModules (example: Invisible Web)Invisible Web  Timed Search Challenges (example: Broadway shows)Broadway shows When and Where can these skills be taught?  In the context of research paper preparation  Library and research orientation  Computer lab and non-digital applications

26. 26 1 keywords: information fluency On line Resources for Information Fluency

27. 27 1 Contact Us! URL http://21cif.imsa.eduhttp://21cif.imsa.edu General info 21cif@imsa.edu21cif@imsa.edu Carl Heine heine@imsa.edu Dennis O’Connor doconnor@imsa.eduheine@imsa.edudoconnor@imsa.edu Thank you for participating!