Open AccessSuggesting Japanese subject headings using web information resources
Author(s) -
Ueda Hiroshi,
Murakami Harumi
Publication year - 2006
Publication title -
proceedings of the american society for information science and technology
Language(s) - English
Resource type - Journals
eISSN - 1550-8390
pISSN - 0044-7870
DOI - 10.1002/meet.14504301228
Subject(s) - subject (documents) , computer science , information retrieval , world wide web , matching (statistics) , word (group theory) , service (business) , linguistics , statistics , philosophy , mathematics , economy , economics
In this paper, we propose a method that suggests BSH4 (Japan Library Association, 1999) subject headings according to user queries when pattern matching algorithms fail to produce a hit. As user queries are diverse and unpredictable, we explore a method that makes a suggestion even when the query is a new word. We investigate the use of information obtained from Wikipedia (“Wikipedia,” n.d.), the Amazon Web Service (AWS), and Google. We implemented the method, and our system suggests ten BSH4 subject headings according to user queries.