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Mining Information for Instance Unification

  • Niraj Aswani
  • Kalina Bontcheva
  • Hamish Cunningham
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4273)

Abstract

Instance unification determines whether two instances in an ontology refer to the same object in the real world. More specifically, this paper addresses the instance unification problem for person names. The approach combines the use of citation information (i.e., abstract, initials, titles and co-authorship information) with web mining, in order to gather additional evidence for the instance unification algorithm. The method is evaluated on two datasets – one from the BT digital library and one used in previous work on name disambiguation. The results show that the information mined from the web contributes substantially towards the successful handling of highly ambiguous cases which lowered the performance of previous methods.

Keywords

Knowledge Management Digital Library Paper Title Author Citation Mining Information 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Niraj Aswani
    • 1
  • Kalina Bontcheva
    • 1
  • Hamish Cunningham
    • 1
  1. 1.Department of Computer ScienceUniversity of Sheffield, Regent CourtSheffieldUK

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