A bipartite graph based social network splicing method for person name disambiguation

Jintao Tang, Qin Lu, Ting Wang, Ji Wang, Wenjie Li

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

7 Citations (Scopus)

Abstract

The key issue of person name disambiguation is to discover different namesakes in massive web documents rather than simply cluster documents by using textual features. In this paper, we describe a novel person name disambiguation method based on social networks to effectively identify namesakes. The social network snippets in each document are extracted. Then, the namesakes are identified via splicing the social networks of each namesake by using the snippets as a bipartite graph. Experimental results show that our method achieves better result than the top performance of WePS-2 in identifying different namesakes.
Original languageEnglish
Title of host publicationSIGIR'11 - Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval
Pages1233-1234
Number of pages2
DOIs
Publication statusPublished - 1 Sep 2011
Event34th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'11 - Beijing, China
Duration: 24 Jul 201128 Jul 2011

Conference

Conference34th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'11
Country/TerritoryChina
CityBeijing
Period24/07/1128/07/11

Keywords

  • Bipartite graph
  • Person name disambiguation
  • Social network

ASJC Scopus subject areas

  • Information Systems

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