• Title/Summary/Keyword: 대학행정

Search Result 650, Processing Time 0.025 seconds

대학행정

  • Korean Council for University Education
    • 대학교육
    • /
    • s.9
    • /
    • pp.152-155
    • /
    • 1984
  • PDF

대학행정

  • Korean Council for University Education
    • 대학교육
    • /
    • s.14
    • /
    • pp.143-145
    • /
    • 1985
  • PDF

대학행정

  • Korean Council for University Education
    • 대학교육
    • /
    • s.3
    • /
    • pp.147-148
    • /
    • 1983
  • PDF

대학행정

  • Korean Council for University Education
    • 대학교육
    • /
    • s.4
    • /
    • pp.140-143
    • /
    • 1983
  • PDF

대학행정

  • Korean Council for University Education
    • 대학교육
    • /
    • s.2
    • /
    • pp.139-142
    • /
    • 1983
  • PDF

대학행정

  • Korean Council for University Education
    • 대학교육
    • /
    • s.5
    • /
    • pp.140-144
    • /
    • 1983
  • PDF

A Study on the Design of a Topic Map-based Retrieval System for the Academic Administration Records of Universities (대학 학사행정 기록물의 토픽맵 기반 검색시스템 설계에 관한 연구)

  • Shin, Jiyu;Jung, Youngmi
    • Journal of Korean Society of Archives and Records Management
    • /
    • v.16 no.1
    • /
    • pp.175-193
    • /
    • 2016
  • A topic map was designed as an efficient information retrieval method that is optimized for classification, organization, and navigation through the use of a semantic link network above information resources. With this, this study aims to design a topic map-based university archives retrieval system to provide the relevant information retrieval. For this study, electronic records that relate to the academic administration within two years of D university were collected, and topic map editing was carried out with Ontopia Omnigator. Topics were classified according to their functional analysis of academic administration. In the end, the number of topics was finalized as 626, with 6 types in general: academic work, staff, college register, student, university, etc. Association was separated into six types as well, which were formed with consideration to the relationships among topics. In addition, there are seven occurrence types: register class, register number, register date, receiver, title, creator, and identifier. It is expected that the associative nature of the designed topic map-based retrieval system in this study will make navigation of large records easy and allow incidental discovery of knowledge.