Tutorial When Databases Meet the Web

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							           Tutorial
  When Databases Meet the Web

Kevin C. Chang
When Databases Meet The Web




      Can we build a
       “data-aware”
      search engine?
                              2
So Why Should You
      Care?


                    3
Structured Data--- Prevalent but ignored!




                                            4
Search moves on to integration.
Don’t believe me? See what Google has to say…




   People: Buckle Up!
To embrace the burgeoning of structured
          data on the Web.


                                                5
Background Check


   Graduates? Undergraduates?

   Databases?
   Information Retrieval?
   Data Mining?
   Machine Learning?




                                 6
Outline:
   Monday: In the Beginning, God Created Data.
     The Past

     And Future of Data Processing

   Tuesday: But Then Data Cut Loose on the Web…
     Data on the Web: A Survey

     Data Extraction from HTML Text

   Wednesday: So There Are a Lot of Data. (Chris Olston@YahooResearch)
     Parallel Data Processing

     PIG @ Yahoo

   Thursday: And We Must Regain Control of Data!
     Vertical Search Engines

     Data Crawling

   Friday: Other than Corns and Cows… (Since You Are at UIUC)
     Case Study: MetaQuerier@UIUC (Deep Web Data Integration)
     Case Study: WISDM@UIUC (Surface Web Entity Search)



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Suggestions??




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