Another Word For It Patrick Durusau on Topic Maps and Semantic Diversity

October 25, 2010

The Short Comings of Full-Text Searching

The Short Comings of Full-Text Searching by Jeffrey Beall from the University of Colorado Denver.

  1. The synonym problem.
  2. Obsolete terms.
  3. The homonym problem.
  4. Spamming.
  5. Inability to narrow searches by facets.
  6. Inability to sort search results.
  7. The aboutness problem.
  8. Figurative language.
  9. Search words not in web page.
  10. Abstract topics.
  11. Paired topics.
  12. Word lists.
  13. The Dark Web.
  14. Non-textual things.

Questions:

  1. Watch the slide presentation.
  2. Can you give three examples of each short coming? (excluding #5 and #6, which strike me as interface issues, not searching issues)
  3. How would you “solve” the word list issue? (Don’t assume quantum computing, etc. There are simpler answers.)
  4. Is metadata the only approach for “non-textual things?” Can you cite 3 papers offering other approaches?

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