Difference between revisions of "StructuredDataFromWikiPages"

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Revision as of 01:35, 25 March 2008

OurWork Edit-chalk-10bo12.png


What (summary)

Extract data that users have entered onto Wiki pages and turn them into structured data for easier manipulation.

We need to extract

  • Contact info
    • Address
    • Phone #


Why this is important

We are moving towards using more highly-structured data, but need to leverage the large quantity of data users have entered onto our site.

DoneDone

  • Easily identify which data has been added or changed to a wiki page by human edits. (standard diff may work?)
  • Apply heuristics (section, regular expression, machine learning, something else) to determine if a piece of data should belong in a structured field.
  • If all human-added data can be extracted, indicate that the entire wiki page should be deleted.
  • If there remain human-added data that can't be identified and extracted, return wikitext containing only the non-identified human data, with all bot-created data removed.


Steps to get to DoneDone

  • Build many test cases--pick many random human-edited pages.
    • Pull out revision histories (or at least diffs to compare to original bot scrape)
    • Identify and extract human-edited data yourself. Great fun!
  • Make test cases pass. (In order below?)
    • First identify all human-edited data
    • Then classify and extract said data
    • Then determine if a page should be deleted, and, if not, which data should be left behind.
  • Throw a wild and crazy party

Discussion



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