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Mining Information for Instance Unification
Niraj Aswani, Kalina Bontcheva, and Hamish Cunningham*
Department of Computer Science, University of Sheffield, Regent Court, 211 Portobello Street, Sheffield, UKniraj@dcs.shef.ac.uk
kalina@dcs.shef.ac.uk
hamish@dcs.shef.ac.uk
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.
*This work is partially supported by the EU-funded SEKT project (http://www.sekt-project.com)
LNCS 4273, p. 329 ff.
lncs@springer.com
© Springer-Verlag Berlin Heidelberg 2006