A study for categorizing relations between headword and aliases. Issue 1 (18th October 2019)

• Record Type: Journal Article
• Authors: Kim, Jiyoun; Koo, Youngeun; Zhu, Yongjun
• Is Part Of: Proceedings of the Association for Information Science and Technology. Volume 56:Issue 1(2019)
• Page Start: 691
• Page End: 692
• Publication Date: 2019-10-18
• Subjects: Headword -- Alias -- Wikipedia; Information science -- Congresses; Information technology -- Congresses; Information science; Information technology; Conference papers and proceedings; 020
• DOI: 10.1002/pra2.136
• Languages: English
• ISSNs: 2373-9231

Abstract

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.