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 proceedingConference contribution

64 Scopus citations

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 languageEnglish (US)
Title of host publicationProceedings of the 2nd International Workshop on Information Quality in Information Systems, IQIS 2005
PublisherAssociation for Computing Machinery, Inc
Pages69-76
Number of pages8
ISBN (Electronic)1595931600, 9781595931603
DOIs
StatePublished - Jun 17 2005
Event2nd International Workshop on Information Quality in Information Systems, IQIS 2005 - Baltimore, United States
Duration: Jun 17 2005 → …

Publication series

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

Other

Other2nd International Workshop on Information Quality in Information Systems, IQIS 2005
CountryUnited States
CityBaltimore
Period6/17/05 → …

All Science Journal Classification (ASJC) codes

  • Information Systems

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  • 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