Name disambiguation in author citations using a K-way spectral clustering method

An author may have multiple names and multiple authors may share the same name simply due to name abbreviations, identical names, or name misspellings in publications or bibliographies 1. This can produce name ambiguity which can affect the performance of document retrieval, web search, and database...

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Bibliographic Details
Main Authors: Han, Hui, Zha, Hongyuan, Giles, C. Lee
Format: Conference Proceeding
Language:English
Subjects:
Bibliographies
Clustering methods
Computer science
feature selection
Information retrieval
Information systems > Information retrieval
name disambiguation
Permission
spectral clustering
Statistics
Supervised learning
Unsupervised learning
Web search
Online Access:Request full text
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Summary:An author may have multiple names and multiple authors may share the same name simply due to name abbreviations, identical names, or name misspellings in publications or bibliographies 1. This can produce name ambiguity which can affect the performance of document retrieval, web search, and database integration, and may cause improper attribution of credit. Proposed here is an unsupervised learning approach using K-way spectral clustering that disambiguates authors in citations. The approach utilizes three types of citation attributes: co-author names, paper titles, and publication venue titles 2. The approach is illustrated with 16 name datasets with citations collected from the DBLP database bibliography and author home pages and shows that name disambiguation can be achieved using these citation attributes.
DOI:10.1145/1065385.1065462