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Effective Fuzzy Keyword Search over Uncertain Data

  • Xiaoming Song
  • Guoliang Li
  • Jianhua Feng
  • Lizhu Zhou
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5463)

Abstract

Nowadays a huge amount of data were automatically generated or extracted from other data sources. The uncertainty and imprecision are intrinsic in those data. In this paper, we study the problem of effective keyword search over uncertain data. We allow approximate matching between input keywords and the strings in the underlying data, even in the presence of minor errors of input keywords. We formalize the problem of fuzzy keyword search over uncertain data. We propose efficient algorithms, effective ranking functions, and early-termination techniques to facilitate fuzzy keyword search over uncertain data. We propose a lattice based fuzzy keyword search method to efficiently identify top-k answers. Extensive experiments on a real dataset show that our proposed algorithm achieves both high result quality and search efficiency.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Xiaoming Song
    • 1
  • Guoliang Li
    • 1
  • Jianhua Feng
    • 1
  • Lizhu Zhou
    • 1
  1. 1.Department of Computer ScienceTsinghua UniversityBeijingChina

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