research-article

A relevance feedback approach for the author name disambiguation problem

Authors:

Thiago A. Godoi,

Ricardo da S. Torres,

Ariadne M.B.R. Carvalho,

Marcos A. Gonçalves,

Anderson A. Ferreira,

Edward A. FoxAuthors Info & Claims

JCDL '13: Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries

Pages 209 - 218

https://doi.org/10.1145/2467696.2467709

Published: 22 July 2013 Publication History

Abstract

This paper presents a new name disambiguation method that exploits user feedback on ambiguous references across iterations. An unsupervised step is used to define pure training samples, and a hybrid supervised step is employed to learn a classification model for assigning references to authors. Our classification scheme combines the Optimum-Path Forest (OPF) classifier with complex reference similarity functions generated by a Genetic Programming framework. Experiments demonstrate that the proposed method yields better results than state-of-the-art disambiguation methods on two traditional datasets.

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Cited By

Zhou QChen WZhao PLiu AXu JQu JZhao L(2024)Towards Effective Author Name Disambiguation by Hybrid AttentionJournal of Computer Science and Technology10.1007/s11390-023-2070-z39:4(929-950)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1007/s11390-023-2070-z
LIU ZDUAN JHUANG LDEZERT JZHAO Y(2022)Combination of classifiers with incomplete frames of discernmentChinese Journal of Aeronautics10.1016/j.cja.2021.04.02035:5(145-157)Online publication date: May-2022
https://doi.org/10.1016/j.cja.2021.04.020
Zhang BDundar MDave VHasan MDownie SZhu QHahn J(2019)Dirichlet process gaussian mixture for active online name disambiguation by particle filterProceedings of the 18th Joint Conference on Digital Libraries10.1109/JCDL.2019.00045(269-278)Online publication date: 2-Jun-2019
https://dl.acm.org/doi/10.1109/JCDL.2019.00045
Show More Cited By

Index Terms

A relevance feedback approach for the author name disambiguation problem
1. Computing methodologies
  1. Machine learning
    1. Learning paradigms
      1. Supervised learning
        Supervised learning by classification
    2. Machine learning approaches
      1. Classification and regression trees
2. Information systems
  1. Information retrieval
    1. Evaluation of retrieval results
      1. Relevance assessment
    2. Retrieval tasks and goals
      1. Clustering and classification
  2. Information systems applications
    1. Data mining
      1. Clustering

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cover image ACM Conferences

JCDL '13: Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries

July 2013

480 pages

ISBN:9781450320771

DOI:10.1145/2467696

General Chairs:
J. Stephen Downie
University of Illinois at Urbana-Champaign, USA
,
Robert H. McDonald
Indiana University Bloomington, USA
,
Program Chairs:
Timothy W. Cole
University of Illinois at Urbana-Champaign, USA
,
Robert Sanderson
Los Alamos National Laboratory, USA
,
Frank Shipman
Texas A&M University, USA

Copyright © 2013 ACM.

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Published: 22 July 2013

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July 22 - 26, 2013

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JCDL '13 Paper Acceptance Rate 28 of 95 submissions, 29%;

Overall Acceptance Rate 415 of 1,482 submissions, 28%

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Cited By

Zhou QChen WZhao PLiu AXu JQu JZhao L(2024)Towards Effective Author Name Disambiguation by Hybrid AttentionJournal of Computer Science and Technology10.1007/s11390-023-2070-z39:4(929-950)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1007/s11390-023-2070-z
LIU ZDUAN JHUANG LDEZERT JZHAO Y(2022)Combination of classifiers with incomplete frames of discernmentChinese Journal of Aeronautics10.1016/j.cja.2021.04.02035:5(145-157)Online publication date: May-2022
https://doi.org/10.1016/j.cja.2021.04.020
Zhang BDundar MDave VHasan MDownie SZhu QHahn J(2019)Dirichlet process gaussian mixture for active online name disambiguation by particle filterProceedings of the 18th Joint Conference on Digital Libraries10.1109/JCDL.2019.00045(269-278)Online publication date: 2-Jun-2019
https://dl.acm.org/doi/10.1109/JCDL.2019.00045
Cordova Neira MRibeiro Mendes Junior PRocha ADa Silva Torres R(2018)Data-Fusion Techniques for Open-Set Recognition ProblemsIEEE Access10.1109/ACCESS.2018.28242406(21242-21265)Online publication date: 2018
https://doi.org/10.1109/ACCESS.2018.2824240
de Souza EFerreira AGonçalves MBogen PAllard SMercer HBeck MCunningham SGoh DHenry G(2015)Combining Classifiers and User Feedback for Disambiguating Author NamesProceedings of the 15th ACM/IEEE-CS Joint Conference on Digital Libraries10.1145/2756406.2756964(259-260)Online publication date: 21-Jun-2015
https://dl.acm.org/doi/10.1145/2756406.2756964
Qian YZheng QSakai TYe JLiu J(2015)Dynamic author name disambiguation for growing digital librariesInformation Retrieval Journal10.1007/s10791-015-9261-318:5(379-412)Online publication date: 21-Jul-2015
https://doi.org/10.1007/s10791-015-9261-3
Hajra ARadevski VTochtermann K(2015)Author Profile Enrichment for Cross-Linking Digital LibrariesResearch and Advanced Technology for Digital Libraries10.1007/978-3-319-24592-8_10(124-136)Online publication date: 28-Nov-2015
https://doi.org/10.1007/978-3-319-24592-8_10

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