Suggesting Japanese Subject Headings using Web Information Resources

نویسندگان

  • Hiroshi Ueda
  • Harumi Murakami
چکیده

It is well-known that suggesting subject headings according to user queries is useful for subject searches (e.g., the MeSH database for MEDLINE (“MeSH databse,” n.d.), RedLightGreen (“RedLightGreen,” n.d.)). However, few systems suggest subject headings for OPACs in Japan. Some systems (e.g. “National Diet Library NDL-OPAC,” n.d.), which offer users a function that retrieves subject headings, are based on pattern matching algorithms, and they usually fail to suggest a subject heading when there is no hit.

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تاریخ انتشار 2006