A study for categorizing relations between headword and aliases

Jiyoun Kim; Youngeun Koo; Yongjun Zhu

doi:10.1002/pra2.136

A study for categorizing relations between headword and aliases

Jiyoun Kim, Youngeun Koo, Yongjun Zhu

Department of Library and Information Science

Research output: Contribution to journal › Article › peer-review

Abstract

In this study, we propose a method of categorizing relations between a headword and its aliases using Korean Wikipedia data. We propose orthographically similar types and orthographically different types. Orthographically similar types are divided into 5 types: Word space, Pronunciation difference, Omission, Abbreviation, and Word order change while different types are also classified into 4 types: Foreign word, Acronym, Paraphrased expression and Call name. We show examples to verify the proposed method.

Original language	English
Pages (from-to)	691-692
Number of pages	2
Journal	Proceedings of the Association for Information Science and Technology
Volume	56
Issue number	1
DOIs	https://doi.org/10.1002/pra2.136
Publication status	Published - 2019 Jan

Bibliographical note

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Author(s) retain copyright, but ASIS&T receives an exclusive publication license

All Science Journal Classification (ASJC) codes

Computer Science(all)
Library and Information Sciences

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10.1002/pra2.136

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author = "Jiyoun Kim and Youngeun Koo and Yongjun Zhu",

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A study for categorizing relations between headword and aliases

Abstract

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