2006 MiningInformationForInstanceUnification

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Subject Headings: Author Coreference Resolution Task, British Telecom Digital Library, SEKT Project


Cited By



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.,

 AuthorvolumeDate ValuetitletypejournaltitleUrldoinoteyear
2006 MiningInformationForInstanceUnificationHamish Cunningham
Niraj Aswani
Kalina Bontcheva
Mining Information for Instance UnificationProceedings of the 5th International Semantic Web Conferencehttp://gate.ac.uk/sale/iswc06/iswc06.pdf10.1007/11926078_242006