Semantic Indexing for Chinese Structured Documents

• Main Authors: Chih-Hsuan Tseng, 曾志軒
• Other Authors: Hao-Ren Ke
• Format: Others
• Language: zh-TW
• Published: 2001
• Online Access: http://ndltd.ncl.edu.tw/handle/18082236594393756752

碩士 === 國立交通大學 === 資訊科學系 === 89 === In this thesis, we propose a information retrieval scheme that combines indexing for structured documents and semantic indexing. Indexing for structured documents can index the documents with embedded document structures. By using characteristics of K-ary trees, we can store the element data and provide fast element access. On the other hand, semantic indexing constructs a conceptual space or knowledge space by using semantic matrices. Through the idea of conceptual space and semantic network, we expect that traditional information retrieval will be evolved into knowledge retrieval. In this thesis, we construct several evaluations to assess both traditional indexing scheme and our integrated indexing scheme. Although the integrated indexing scheme takes more time to build indexes, it can present more information relevant to user interests.