Developing a Virtual Document Warehouse with Dynamic Hierarchical Clustering Techniques

• Main Authors: Wei-Lin Yang, 楊瑋琳
• Other Authors: Seng-Cho Chou
• Format: Others
• Language: en_US
• Published: 2006
• Online Access: http://ndltd.ncl.edu.tw/handle/85157078361120147542

碩士 === 國立臺灣大學 === 資訊管理學研究所 === 94 === Searching for information based on the keyword-based retrieval by using search engines has limited ability to mine the most important and relevant knowledge. The retrieved search results are disorganized results and lack of dimensions. In the information retrieval (IR) field, text categorization has been investigated for many years to organize search results automatically into corresponding categories, which contains classification and clustering. In this thesis, we propose and describe the Virtual Document Warehouse System, which contains an integrated interface for multi-dimensional analysis for knowledge management and decision-making. The system extracts relevant documents by using search engines and we utilize clustering algorithms to dynamically and automatically organize information retrieved from heterogeneous sources into hierarchical structures, and to combine different concept hierarchies. Finally, we propose an approach that makes searching more convenient and multi-dimensional, and present the application of personalized conceptual knowledge maps.