Developing a Virtual Document Warehouse with Dynamic Hierarchical Clustering Techniques
Date Issued
2006
Date
2006
Author(s)
Yang, Wei-Lin
DOI
en-US
Abstract
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.
Subjects
階層分群
概念階層
搜尋引擎
Information Retrieval
Hierarchical Clustering
Document Warehouse
Concept Hierarchy
Search Engine
Type
other
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