Category tree integration by exploiting hierarchical structure.

• Other Authors: Lin, Jianfeng.
• Format: Others
• Language: English; Chinese
• Published: 2007
• Subjects: Data structures (Computer science); Internet searching; Data mining
• Online Access: http://library.cuhk.edu.hk/record=b5893509; http://repository.lib.cuhk.edu.hk/en/item/cuhk-326130

Lin, Jianfeng. === Thesis (M.Phil.)--Chinese University of Hong Kong, 2007. === Includes bibliographical references (leaves 79-83). === Abstracts in English and Chinese. === Abstract --- p.i === 内容摘要 --- p.ii === Acknowledgement --- p.iii === Table of Contents --- p.iv === List of Figures --- p.vi === List of Tables --- p.vii === Chapter Chapter 1. --- Introduction --- p.1 === Chapter Chapter 2. --- Related Work --- p.6 === Chapter 2.1. --- Ontology Integration --- p.7 === Chapter 2.2. --- Schema Matching --- p.10 === Chapter 2.3. --- Taxonomy Integration as Text Categorization --- p.13 === Chapter 2.4. --- Cross-lingual Text Categorization & Cross-lingual Information Retrieval --- p.15 === Chapter Chapter 3. --- Problem Definition --- p.17 === Chapter 3.1. --- Mono-lingual Category Tree Integration --- p.17 === Chapter 3.2. --- Integration Operators --- p.19 === Chapter 3.3. --- Cross-lingual Category Tree Integration --- p.21 === Chapter Chapter 4. --- Mono-lingual Category Tree Integration Techniques --- p.23 === Chapter 4.1. --- Category Relationships --- p.23 === Chapter 4.2. --- Decision Rules --- p.27 === Chapter 4.3. --- Mapping Algorithm --- p.38 === Chapter Chapter 5. --- Experiment of Mono-lingual Category Tree Integration --- p.42 === Chapter 5.1. --- Dataset --- p.42 === Chapter 5.2. --- Automated Text Classifier --- p.43 === Chapter 5.3. --- Evaluation Metrics --- p.46 === Chapter 5.3.1. --- Integration Accuracy --- p.47 === Chapter 5.3.2. --- Precision and Recall and F1 value of the Three Operators --- p.48 === Chapter 5.3.3. --- "Precision and Recalls of ""Split""" --- p.48 === Chapter 5.4. --- Parameter Turning --- p.49 === Chapter 5.5. --- Experiments Results --- p.55 === Chapter Chapter 6. --- Cross-lingual Category Tree Integration --- p.60 === Chapter 6.1. --- Parallel Corpus --- p.61 === Chapter 6.2. --- Cross-lingual Concept Space Construction --- p.65 === Chapter 6.2.1. --- Phase Extraction --- p.65 === Chapter 6.2.2. --- Co-occurrence analysis --- p.65 === Chapter 6.2.3. --- Associate Constraint Network for Concept Generation --- p.67 === Chapter 6.3. --- Document Translation --- p.69 === Chapter 6.4. --- Experiment Setting --- p.72 === Chapter 6.5. --- Experiment Results --- p.73 === Chapter Chapter 7. --- Conclusion and Future Work --- p.77 === Reference --- p.79