@article{ART000933080},
author={Seung-Hee Han and Young-Mee Chung},
title={Automatic Generation of the Local Level Knowledge Structure of a Single Document Using Clustering Methods},
journal={Journal of the Korean Society for Information Management},
issn={1013-0799},
year={2004},
volume={21},
number={3},
pages={251-268},
doi={10.3743/KOSIM.2004.21.3.251}
TY - JOUR
AU - Seung-Hee Han
AU - Young-Mee Chung
TI - Automatic Generation of the Local Level Knowledge Structure of a Single Document Using Clustering Methods
JO - Journal of the Korean Society for Information Management
PY - 2004
VL - 21
IS - 3
PB - 한국정보관리학회
SP - 251
EP - 268
SN - 1013-0799
AB - The purpose of this study is to generate the local level knowledge structure of a single document, similar to end-of-the-book indexes and table of contents of printed material, through the use of term clustering and cluster representative term selection. Furthermore, it aims to analyze the functionalities of the knowledge structure, and to confirm the applicability of these methods in user-friendly information services. The results of the term clustering experiment showed that the performance of the Ward's method was superior to that of the fuzzy K-means clustering method. In the cluster representative term selection experiment, using the highest passage frequency term as the representative yielded the best performance. Finally, the result of user task-based functionality tests illustrate that the automatically generated knowledge structure in this study functions similarly to the local level knowledge structure presented in printed material.
KW - term clustering;cluster representative term;local level knowledge structure;Ward's method;fuzzy K-means clustering method
DO - 10.3743/KOSIM.2004.21.3.251
ER -
Seung-Hee Han and Young-Mee Chung. (2004). Automatic Generation of the Local Level Knowledge Structure of a Single Document Using Clustering Methods. Journal of the Korean Society for Information Management, 21(3), 251-268.
Seung-Hee Han and Young-Mee Chung. 2004, "Automatic Generation of the Local Level Knowledge Structure of a Single Document Using Clustering Methods", Journal of the Korean Society for Information Management, vol.21, no.3 pp.251-268. Available from: doi:10.3743/KOSIM.2004.21.3.251
Seung-Hee Han, Young-Mee Chung "Automatic Generation of the Local Level Knowledge Structure of a Single Document Using Clustering Methods" Journal of the Korean Society for Information Management 21.3 pp.251-268 (2004) : 251.
Seung-Hee Han, Young-Mee Chung. Automatic Generation of the Local Level Knowledge Structure of a Single Document Using Clustering Methods. 2004; 21(3), 251-268. Available from: doi:10.3743/KOSIM.2004.21.3.251
Seung-Hee Han and Young-Mee Chung. "Automatic Generation of the Local Level Knowledge Structure of a Single Document Using Clustering Methods" Journal of the Korean Society for Information Management 21, no.3 (2004) : 251-268.doi: 10.3743/KOSIM.2004.21.3.251
Seung-Hee Han; Young-Mee Chung. Automatic Generation of the Local Level Knowledge Structure of a Single Document Using Clustering Methods. Journal of the Korean Society for Information Management, 21(3), 251-268. doi: 10.3743/KOSIM.2004.21.3.251
Seung-Hee Han; Young-Mee Chung. Automatic Generation of the Local Level Knowledge Structure of a Single Document Using Clustering Methods. Journal of the Korean Society for Information Management. 2004; 21(3) 251-268. doi: 10.3743/KOSIM.2004.21.3.251
Seung-Hee Han, Young-Mee Chung. Automatic Generation of the Local Level Knowledge Structure of a Single Document Using Clustering Methods. 2004; 21(3), 251-268. Available from: doi:10.3743/KOSIM.2004.21.3.251
Seung-Hee Han and Young-Mee Chung. "Automatic Generation of the Local Level Knowledge Structure of a Single Document Using Clustering Methods" Journal of the Korean Society for Information Management 21, no.3 (2004) : 251-268.doi: 10.3743/KOSIM.2004.21.3.251
