Search (407 results, page 1 of 21)

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  1. Birmingham, J.: Internet search engines (1996) 0.36 
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    Abstract
    Basically a good listing in table format of features from the major search engines
    Content
    Darstellung zu verschiedenen search engines des Internet
    Date
    10.11.1996 16:36:22
    Source
    http://www.stark.k12.oh.us/Docs/search/
  2. Dunning, A.: Do we still need search engines? (1999) 0.26 
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    Source
    Ariadne. 1999, no.22
  3. Campbell, K.: Understanding and comparing search engines (1996) 0.19 
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    Abstract
    A meta-list of 11 other sites that critique search engines
    Content
    Hinweis auf Beiträge zu den verschiedenen search engines des Internet
  4. Binghampton University Libraries: Comparing search engines (1998) 0.18 
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    Source
    http://library.lib.binghampton.edu/webdocs/search-engine-comparison.html
  5. Tyner, R.: Sink or swim : Internet search tools & techniques (1996) 0.16 
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    Abstract
    Very good site that includes search basics, Boolean logic. Reviews all the popular search engines and includes Size, Currency, Search options, and Results
  6. Overton, R.: Search engines get faster and faster, but not always better (1996) 0.16 
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    Abstract
    Good article listing the pros and cons of the most popular search engines. Grades search engines and recommends thoch ones to use and not to use. Also provides good table of features
  7. Mayfield, J.; Finin, T.: Information retrieval on the Semantic Web : integrating inference and retrieval 0.16 
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    Abstract
    One vision of the Semantic Web is that it will be much like the Web we know today, except that documents will be enriched by annotations in machine understandable markup. These annotations will provide metadata about the documents as well as machine interpretable statements capturing some of the meaning of document content. We discuss how the information retrieval paradigm might be recast in such an environment. We suggest that retrieval can be tightly bound to inference. Doing so makes today's Web search engines useful to Semantic Web inference engines, and causes improvements in either retrieval or inference to lead directly to improvements in the other.
    Date
    12. 2.2011 17:35:22
  8. Sullivan D.: ¬The webmaster's guide to search engines and directories (1996) 0.16 
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    Abstract
    Very thourough report on search engines. Has several sections including What's new, Tips for success, Frequently Asked Questions and an good list of features in a table format
  9. Peterson, R.E.: Eight Internet search engines compared (1996) 0.16 
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    Abstract
    Beitrag über robotergestützte search engines des Internet
  10. Sullivan D.: ¬The major search engines (1998) 0.15 
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  11. Sullivan D.: How search engines rank web pages (1998) 0.15 
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  12. Sullivan D.: How search engines work (1998) 0.15 
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  13. Barlow, L.: ¬The spider's apprentice : how to use Web search engines (1997) 0.15 
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  14. Gerhart, S.L.: Do Web search engines suppress controversy? : Simulating the exchange process (2004) 0.15 
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  15. Sullivan D.: Search engines features chart (1998) 0.15 
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  16. TASI: ¬A review of image search engines (2003) 0.15 
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    Abstract
    Replacing an earlier review, TASI's report outlines the different types of image search engines available and suggests the things to look out for when using one to find images. It includes TASI's own critical evaluation of the most popular engines.
  17. Page, A.: ¬The search is over : the search-engines secrets of the pros (1996) 0.15 
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    Abstract
    Covers 8 of the most popular search engines. Gives a summary of each and has a nice table of features that also briefly lists the pros and cons. Includes a short explanation of Boolean operators too
  18. Stanley, T.: Alta Vista vs. Lycos (1996) 0.13 
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    Abstract
    Very good review of what many people think are the top 2 rated search engines. has extensive narrative and several tables
    Footnote
    Auch unter: http://ukoln.bath.ac.uk/ariadne/issue2/engines/
  19. Tomaiuolo, N.G.; Packer, J.G.: Quantitative analysis of five WWW 'search engines' (1996) 0.13 
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    Abstract
    Provides a table of the results from over 100 questions actually asked at a library reference desk: The summary notes the average number of relevant 'hits' for all investigated search engines are: AltaVista: 9.3; InfoSeek: 8.3; Lycos: 8.1; Magellan: 7.8; Point: 2.1
  20. Entlich, R.: FAQ: Image Search Engines (2001) 0.13 
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    Abstract
    Everyone loves images. The web wasn't anything until images came along, then it was an overnight success. So how does one find a specific image on the web? By using one of a burgeoning number of image-focused search engines. These search engines are simply optimized versions of typical web indexes, with crawlers that go around sucking down web content and indexing it. But with image search engines, they focus on images only, and the web page text that may describe them. As information professionals, we know that this is a clumsy approach at best, but as the author puts it, until more sophisticated methods become available, the tools profiled here will "have to suffice." Seven search engines are thoroughly tested in this review article, with Google's Image Search (http://www.google.com/imghp?hl=en) being the highest rated

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