| 英文摘要 |
This paper describes automatic methods for thesaurus construction and information visualization and their testing results. A method is developed to construct a thesaurus from scratch, using only the textual materials in the examined domain of papers as the main information resource. All the terms relevant to the domain are selected and their mutual conceptual relationships are detected, based on the statistical processing of the input texts. The selected terms and their conceptual relationships are applied to construct a thesaurus dedicated to the examined domain. Another method for visualizing information in the constructed thesaurus is also proposed by generating a set of graphs, in which the mapped positions of related terms are displayed in juxtaposition. These graphs are useful in showing the knowledge structure of the examined domain and very suitable for the applications of retrieval and browsing. In the study, on the basis of our proposed methods, we have performed tests on the textual materials selected from papers published by the periodical Bulletin of Library and Information Science, NCCU. Various usages of the graphs in the constructed thesaurus have been experimented in terms of different sorts of applications. The final results confirm the feasibility as well as the effectiveness of the two methods. |