On the provenance of non-answers to queries over extracted data

  • Huang J
  • Chen T
  • Doan A
 et al. 
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In information extraction, uncertainty is ubiquitous. For this reason, it is useful to provide users querying extracted data with explanations for the answers they receive. Pro- viding the provenance for tuples in a query result partially addresses this problem, in that provenance can explain why a tuple is in the result of a query. However, in some cases explaining why a tuple is not in the result may be just as helpful. In this work we focus on providing provenance-style explanations for non-answers and develop a mechanism for providing this new type of provenance. Our experience with an information extraction prototype suggests that our ap- proach can provide effective provenance information that can help a user resolve their doubts over non-answers to a query.

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  • Jiansheng Huang

  • Ting Chen

  • AnHai Doan

  • Jeffrey F Naughton

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