Effective and scalable solutions for mixed and split citation problems in digital libraries

Dongwon Lee; Byung Won On; Jaewoo Kang; Sanghyun Park

doi:10.1145/1077501.1077514

Effective and scalable solutions for mixed and split citation problems in digital libraries

Dongwon Lee, Byung Won On, Jaewoo Kang, Sanghyun Park

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

50 Citations (Scopus)

Abstract

In this paper, we consider two important problems that commonly occur in bibliographic digital libraries, which seriously degrade their data qualities: Mixed Citation (MC) problem (i.e., citations of different scholars with their names being homonyms are mixed together) and Split Citation (SC) problem (i.e., citations of the same author appear under different name variants). In particular, we investigate an effective yet scalable solution since citations in such digital libraries tend to be large-scale. After formally defining the problems and accompanying challenges, we present an effective solution that is based on the state-of-The-Art sampling-based approximate join algorithm. Our claim is verified through preliminary experimental results.

Original language	English
Title of host publication	Proceedings of the 2nd International Workshop on Information Quality in Information Systems, IQIS 2005
Publisher	Association for Computing Machinery, Inc
Pages	69-76
Number of pages	8
ISBN (Electronic)	1595931600, 9781595931603
DOIs	https://doi.org/10.1145/1077501.1077514
Publication status	Published - 2005 Jun 17
Externally published	Yes
Event	2nd International Workshop on Information Quality in Information Systems, IQIS 2005 - Baltimore, United States Duration: 2005 Jun 17 → …

Publication series

Name	Proceedings of the 2nd International Workshop on Information Quality in Information Systems, IQIS 2005

Other

Other	2nd International Workshop on Information Quality in Information Systems, IQIS 2005
Country/Territory	United States
City	Baltimore
Period	05/6/17 → …

ASJC Scopus subject areas

Information Systems

Access to Document

10.1145/1077501.1077514

Cite this

Lee, D., On, B. W., Kang, J., & Park, S. (2005). Effective and scalable solutions for mixed and split citation problems in digital libraries. In Proceedings of the 2nd International Workshop on Information Quality in Information Systems, IQIS 2005 (pp. 69-76). (Proceedings of the 2nd International Workshop on Information Quality in Information Systems, IQIS 2005). Association for Computing Machinery, Inc. https://doi.org/10.1145/1077501.1077514

Effective and scalable solutions for mixed and split citation problems in digital libraries. / Lee, Dongwon; On, Byung Won; Kang, Jaewoo et al.
Proceedings of the 2nd International Workshop on Information Quality in Information Systems, IQIS 2005. Association for Computing Machinery, Inc, 2005. p. 69-76 (Proceedings of the 2nd International Workshop on Information Quality in Information Systems, IQIS 2005).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Lee, D, On, BW, Kang, J & Park, S 2005, Effective and scalable solutions for mixed and split citation problems in digital libraries. in Proceedings of the 2nd International Workshop on Information Quality in Information Systems, IQIS 2005. Proceedings of the 2nd International Workshop on Information Quality in Information Systems, IQIS 2005, Association for Computing Machinery, Inc, pp. 69-76, 2nd International Workshop on Information Quality in Information Systems, IQIS 2005, Baltimore, United States, 05/6/17. https://doi.org/10.1145/1077501.1077514

Lee D, On BW, Kang J, Park S. Effective and scalable solutions for mixed and split citation problems in digital libraries. In Proceedings of the 2nd International Workshop on Information Quality in Information Systems, IQIS 2005. Association for Computing Machinery, Inc. 2005. p. 69-76. (Proceedings of the 2nd International Workshop on Information Quality in Information Systems, IQIS 2005). doi: 10.1145/1077501.1077514

Lee, Dongwon ; On, Byung Won ; Kang, Jaewoo et al. / Effective and scalable solutions for mixed and split citation problems in digital libraries. Proceedings of the 2nd International Workshop on Information Quality in Information Systems, IQIS 2005. Association for Computing Machinery, Inc, 2005. pp. 69-76 (Proceedings of the 2nd International Workshop on Information Quality in Information Systems, IQIS 2005).

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abstract = "In this paper, we consider two important problems that commonly occur in bibliographic digital libraries, which seriously degrade their data qualities: Mixed Citation (MC) problem (i.e., citations of different scholars with their names being homonyms are mixed together) and Split Citation (SC) problem (i.e., citations of the same author appear under different name variants). In particular, we investigate an effective yet scalable solution since citations in such digital libraries tend to be large-scale. After formally defining the problems and accompanying challenges, we present an effective solution that is based on the state-of-The-Art sampling-based approximate join algorithm. Our claim is verified through preliminary experimental results.",

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AB - In this paper, we consider two important problems that commonly occur in bibliographic digital libraries, which seriously degrade their data qualities: Mixed Citation (MC) problem (i.e., citations of different scholars with their names being homonyms are mixed together) and Split Citation (SC) problem (i.e., citations of the same author appear under different name variants). In particular, we investigate an effective yet scalable solution since citations in such digital libraries tend to be large-scale. After formally defining the problems and accompanying challenges, we present an effective solution that is based on the state-of-The-Art sampling-based approximate join algorithm. Our claim is verified through preliminary experimental results.

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Effective and scalable solutions for mixed and split citation problems in digital libraries

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