Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-642-27210-3_30
Title: Disambiguating author names using automatic relevance feedback
Authors: Kang, I.-S.
Na, S.-H. 
Keywords: Author Disambiguation
Automatic Relevance Feedback
Web Evidence
Issue Date: 2011
Source: Kang, I.-S.,Na, S.-H. (2011). Disambiguating author names using automatic relevance feedback. Communications in Computer and Information Science 264 CCIS : 239-244. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-642-27210-3_30
Abstract: Author disambiguation is to associate author-name instances with author identifiers corresponding to real-world authors. Bibliographic records, which normally contain author-name occurrences to be disambiguated, are not sufficient to provide author-resolving features. This study proposed a feedback-based method for author disambiguation to tackle the insufficiency of author representation. Our method is focused on enhancing author's topical representation by adding topically-related terms obtained from feedback documents. Experiments showed the positive effect of the method on author resolution by improving the performance. © 2011 Springer-Verlag.
Source Title: Communications in Computer and Information Science
URI: http://scholarbank.nus.edu.sg/handle/10635/39903
ISBN: 9783642272097
ISSN: 18650929
DOI: 10.1007/978-3-642-27210-3_30
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

1
checked on Dec 13, 2017

Page view(s)

74
checked on Dec 9, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.