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Applying Semantic Social Graphs to Disambiguate Identity References

Rowe, Matthew (2009) Applying Semantic Social Graphs to Disambiguate Identity References. In: The Semantic Web: Research and Applications 6th European Semantic Web Conference, ESWC 2009 Heraklion, Crete, Greece, May 31–June 4, 2009 Proceedings. Lecture Notes in Computer Science . Springer Verlag, Berlin, pp. 461-475. ISBN 978-3-642-02120-6

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Abstract

Person disambiguation monitors web appearances of a person by disambiguating information belonging to different people sharing the same name. In this paper we extend person disambiguation to incorporate the ABSTRACT notion of identity. This extension utilises semantic web technologies to represent the identity of the person to be found and the web resources to be disambiguated as semantic graphs. Our approach extracts a complete semantic social graph from distributed web 2.0 services. Web resources containing possible person references are converted into semantic graphs describing available identity features. We disambiguate these web resources to identify correct identity references by performing random walks through the graph space, measuring the distances between the social graph and web resource graphs, and clustering similar web resources. We present a new distance measure called “Optimum Transitions” and evaluate the accuracy of our approach using the information retrieval measure f-measure.

Item Type: Contribution in Book/Report/Proceedings
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments: Faculty of Science and Technology > School of Computing & Communications
ID Code: 58684
Deposited By: ep_importer_pure
Deposited On: 28 Sep 2012 11:04
Refereed?: No
Published?: Published
Last Modified: 10 Apr 2014 01:39
Identification Number:
URI: http://eprints.lancs.ac.uk/id/eprint/58684

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