碩士 / 銘傳大學 / 資訊管理學系碩士班 / 94 / The user needs to find an enormous amount of papers related to solve their problem or as reference data. Currently, the most common two search methods are keyword searching, and natural language searching. The advantage of keyword searching is that is simple, convenient and comprehensive; yet keyword may not fully express the semantics of the user, thus generating a lot of search results which are not the most desired. Secondly, natural language searching has a more complete description than keyword searching, improving the precision. However, the disadvantage is that the semantic of the sentence is more personalized. The search results may be disappointing if users have different recognition than that of the database.
In context, a concept will be generated between terms as a result, which express the concept of the article. Using association rule has great results in terms of retrieving and document classification, and concept map navigation shows the links between these concepts. The research proposes that concept map navigation searching which extracts the main concept of documents and links the concepts through the association rule forming a concept map, which allows users to browse and search for data needed, thus solving the problem of low precision searching because of unclear semantic expression.
Finally, we have implemented our approach and used conference papers as samples to test the precision and recall. The result shows that concept map navigation can improve precision and recall by more than 5%. The investigated results show that our approach is feasible and effective.
| Identifer | oai:union.ndltd.org:TW/094MCU05396004 |
| Date | January 2006 |
| Creators | Hui-Ju Wang, 王惠如 |
| Contributors | Jen-Bor Huang, Tai-Ping Wang, 黃仁伯, 王台平 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 49 |
Page generated in 0.0158 seconds