Libby Peterek, M.S.Info.St. Division of Instructional Innovation and Assessment
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Maximizing Online Information Retrieval: How Theological Librarians Can Best Access the Gnostic Areas of the Internet
Libby Peterek, M.S.Info.St.Division of Instructional Innovation and AssessmentThe University of Texas at Austin
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Surface v. Deep Web
• Surface Web - estimated between 1% and 20% of Internet
• Deep Web - content commercial search engines can’t reach (i.e., Google and Yahoo)– Unindexed
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Unindexed Web content
• Databases / dynamically generated content
• File types (Flash, php, etc.)• Institution sites• “Gated” content
– Require password / registration
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Theological Librarianship
• Underserved user group• Specialized content
– Hidden– Database driven– Newly added
• Potential to add richness to research
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Mining the Deep Web
• Deep Web search engines• Federated searching• RSS
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Deep Web Search Engines
• Look like commercial engines• Utilize different algorithms• Vary in quality and result relevance• Many free, growing number fee-based
and subscription-based– You get what you pay for…
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Deep Web Search Engines
• http://www.invisible-web.net• http://www.dipsie.com/ (later this year)• http://www.brightplanet.com
– The leader and most expensive– Mainly competitive intelligence
• http://www.profusion.com/
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Deep Web Search Engines
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Deep Web Search Engines
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Deep Web Issues
• Deep Web search engines underdeveloped
• Many of the same issues as commercial engines– Wait for search engines to improve?
• Federated Searching• RSS
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Federated Searching
• Programs written to connect catalogs and databases
• No need for same code• Specialized search
– Access to different information– Aggregated based on user preference– One simple interface
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Federated Searching
• Theological library databases, listservs, and indexes– Different form of content management– Access to all the tools available
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Sherlock
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Indeed
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Library Use
• New York State Library Pilot Project• http://www.nysl.nysed.gov/library/novel/pilot/
• University of Toronto & British Columbia– Endeavor ENCompass
• http://www.endinfosys.com/
• Library of Congress vendor list• http://www.loc.gov/catdir/lcpaig/portalproducts.
html
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Federated Searching Issues
• Need access to databases– Owned or agreed
• Can be expensive– Divide cost among interested parties or
content holders
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RSS
• Really Simple Syndication• Rich Site Summary• RDF Site Summary
• Comparable to personalized library “alerts”
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RSS
• Application of eXtensible Markup Language (XML), using W3C’s Resource Description Framework (RDF)
• What does this mean?– Metadata meets hyperlinks– Automates tasks
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How RSS is used
• Feeds combine metadata and links– “Syndicate (XML)” or
• Typical sites with RSS– News– Blogs
• Explosion of “bloggers” opens arena for valid material from a wide user base and links to relevant resources
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UT & RSS
• UT Austin strongly considering campus-wide blogging initiative– Content management– Content sharing– Archive– RSS
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Aggregating RSS Feeds
• Browsers– Mozilla Firefox (Mac & PC)– Safari (Mac)
• Aggregators / News Readers (full list)– NetNewsWire Lite (Mac)
• Email• Web
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NetNewsWire Lite
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How it works
• Library Jobs RSS feed from Chronicle of Higher Education– Blog– Organization site
• Elf– Library borrower RSS
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Feedster
• RSS search engine• Generates a unique RSS feed for each
search to copy to an aggregator• Notifications each time your subject is
updated• The better your search terms, the better
your results
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Feedster
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Feedster
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Why RSS at your library?
• Two-way information exchange– Information retrieval and dissemination
• For patrons and librarians– Filter information overload
• You designate the boundaries– Time sensitive
• Be notified first when something is posted in your area of interest
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Online Content / Search Issues
• Information creation and migration speeds• Standards - or lack thereof• Competition v. collaboration
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Looking forward
• Deep Web diminishing– XML– Commercial search engines
• Sophistication• File types
– Internet publishing increasing• More care about pages being indexed• Links
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SourcesBergman, M. 2001. The Deep Web: Surfacing Hidden Value. Journal of Electronic
Publishing. http://www.press.umich.edu/jep/07-01/bergman.htmlBrightPlanet. Deep Web FAQs.
http://www.brightplanet.com/deepcontent/deep_web_faq.aspDevine, J. and Egger-Sider, F. 2004. Beyond Google:The Invisible Web in the
Academic Library. The Journal of Academic Librarianship. 30(4), 265-269.Olsen, S. 2004. Yahoo crawls deep into the Web. http://news.com.com/2100-1024-
5167931.html Smith, C. Invisible Web. http://www.libraryspot.com/features/invisibleweb.htmWired. 2005. Surfing the Deep Web.
http://www.wired.com/news/business/0,1367,67883,00.htmlUniversity at Albany. 2005. The Deep Web.
http://library.albany.edu/internet/deepweb.htmlWebster, P. 2004. Breaking Down Information Silos. Online. 30-34.Wright, A. 2004. In Search of the Deep Web. Salon.
http://www.salon.com/tech/feature/2004/03/09/deep_web/index_np.html