Computer-aided Knowledge Search and Extraction
| Autor: | Xin-Hao Huang, 黃信豪 |
|---|---|
| Rok vydání: | 2007 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 95 Computer-aided knowledge management is one of the critical means to enhance organizational competitiveness. Holsapple classifies knowledge according to its function into procedural knowledge, inferential knowledge, and descriptive knowledge. Among these three kinds of knowledge, descriptive knowledge is the most versatile, and therefore is the most difficult to search and extract. Ju and Sun propose a knowledge model for knowledge management, in which the transition between data, information, and knowledge is detailed, and a common codification principle is described. Ju and Sun’s proposition inspired us to pursue an innovative approach to the search and extraction of descriptive knowledge. This study is based on the knowledge model and review of relevant literature. It has characterizes the environment of knowledge search and extraction for designing a suitable knowledge object search mechanism. It used Topic Maps as core technology and designed a controlled-vocabulary editor and a meta-infrmation constructor to help knowledge engineers and knowledge authors edit the controlled-vocabulary and construct meta-information that support knowledge search and extraction. It also designed a knowledge object search engine and a knowledge object navigator to perform high-precision search and extraction, so that nothing is too much and nothing is missed. With a small-scaled evaluation we find that the result are equally applicable to procedural knowledge and inferential knowledge, and therefore is worth the attention of knowledge management systems developers. A formal assessment of efficiency and effectiveness of the proposed scheme, however, is for further studies. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
| Externí odkaz: |
|