by Yip Wai Man. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1990. / Bibliography: leaves 132-135. / ABSTRACT / ACKNOWLEDGEMENTS / PART I / Chapter 1 --- OVERVIEW ON SEMANTIC DATA MODELLING APPROACH … --- p.1 / Chapter 2 --- SCOPE OF RESEARCH --- p.4 / Chapter 3 --- CONCEPTUAL STRUCTURE OF SAM* --- p.7 / Chapter 3.1 --- Concepts and Associations --- p.7 / Chapter 3.1.1 --- Membership Association --- p.8 / Chapter 3.1.2 --- Aggregation Association --- p.8 / Chapter 3.1.3 --- Generalization Association --- p.9 / Chapter 3.1.4 --- Interaction Association --- p.10 / Chapter 3.1.5 --- Composition Association --- p.11 / Chapter 3.1.6 --- Cross-Product Association --- p.12 / Chapter 3.1.7 --- Summary Association --- p.13 / Chapter 3.2 --- An Example --- p.14 / Chapter 3.3 --- Occurrences --- p.15 / PART II / Chapter 4 --- SYSTEM OVERVIEW --- p.17 / Chapter 4.1 --- System Objectives --- p.17 / Chapter 4.1.1 --- Data Level --- p.17 / Chapter 4.1.2 --- Meta-Data Level --- p.18 / Chapter 4.2 --- System Characteristics --- p.19 / Chapter 4.3 --- Design Considerations --- p.20 / Chapter 5 --- IMPLEMENTATION CONSIDERATIONS --- p.23 / Chapter 5.1 --- Introduction --- p.23 / Chapter 5.2 --- Data Definition Language for Schema --- p.24 / Chapter 5.3 --- Construction of Directed Acyclic Graph --- p.27 / Chapter 5.4 --- Query Manipulation Language --- p.28 / Chapter 5.4.1 --- Semantic Manipulation Language --- p.29 / Chapter 5.4.1.1 --- Locate Concepts --- p.30 / Chapter 5.4.1.2 --- Retrieve Information About Concepts --- p.30 / Chapter 5.4.1.3 --- Find a Path Between Two Concepts --- p.31 / Chapter 5.4.2 --- Occurrence Manipulation Language --- p.32 / Chapter 5.5 --- Examples --- p.35 / Chapter 6 --- RESULTS AND DISCUSSIONS --- p.41 / Chapter 6.1 --- Allow Non-Homogeneity of Facts about Entities --- p.41 / Chapter 6.2 --- Field Name is Information --- p.42 / Chapter 6.3 --- Description of Group of Information --- p.43 / Chapter 6.4 --- Explicitly Description of Interaction --- p.43 / Chapter 6.5 --- Information about Entities --- p.44 / Chapter 6.6 --- Automatically Joining Tables --- p.45 / Chapter 6.7 --- Automatically Union Tables --- p.45 / Chapter 6.8 --- Automatically Select Tables --- p.46 / Chapter 6.9 --- Ambiguity --- p.47 / Chapter 6.10 --- Normalization --- p.47 / Chapter 6.11 --- Update --- p.50 / PART III / Chapter 7 --- SCHEMA VERIFICATION --- p.55 / Chapter 7.1 --- Introduction --- p.55 / Chapter 7.2 --- Need of Schema Verification --- p.57 / Chapter 7.3 --- Integrity Constraint Handling Vs Schema Verification --- p.58 / Chapter 8 --- AUTOMATIC THEOREM PROVING --- p.60 / Chapter 8.1 --- Overview --- p.60 / Chapter 8.2 --- A Discussion on Some Automatic Theorem Proving Methods --- p.61 / Chapter 8.2.1 --- Resolution --- p.61 / Chapter 8.2.2 --- Natural Deduction --- p.63 / Chapter 8.2.3 --- Tableau Proof Methods --- p.65 / Chapter 8.2.4 --- Connection Method --- p.67 / Chapter 8.3 --- Comparison of Automatic Theorem Proving Methods --- p.70 / Chapter 8.3.1 --- Proof Procedure --- p.70 / Chapter 8.3.2 --- Overhead --- p.70 / Chapter 8.3.3 --- Unification --- p.71 / Chapter 8.3.4 --- Heuristics --- p.72 / Chapter 8.3.5 --- Getting Lost --- p.73 / Chapter 8.4 --- The Choice of Tool for Schema Verification --- p.73 / Chapter 9 --- IMPROVEMENT OF CONNECTION METHOD --- p.77 / Chapter 9.1 --- Motivation of Improving Connection Method --- p.77 / Chapter 9.2 --- Redundancy Handled by the Original Algorithm --- p.78 / Chapter 9.3 --- Design Philosophy of the Improved Version --- p.82 / Chapter 9.4 --- Primary Connection Method Algorithm --- p.83 / Chapter 9.5 --- AND/OR Connection Graph --- p.89 / Chapter 9.6 --- Graph Traversal Procedure --- p.91 / Chapter 9.7 --- Elimination Redundancy Using AND/OR Connection Graph --- p.94 / Chapter 9.8 --- Further Improvement on Graph Traversal --- p.96 / Chapter 9.9 --- Comparison with Original Connection Method Algorithm --- p.97 / Chapter 9.10 --- Application of Connection Method to Schema Verification --- p.98 / Chapter 9.10.1 --- Express Constraint in Well Formed Formula --- p.98 / Chapter 9.10.2 --- Convert Formula into Negation Normal Form --- p.101 / Chapter 9.10.3 --- Verification --- p.101 / PART IV / Chapter 10 --- FURTHER DEVELOPMENT --- p.103 / Chapter 10.1 --- Intelligent Front-End --- p.103 / Chapter 10.2 --- On Connection Method --- p.104 / Chapter 10.3 --- Many-Sorted Calculus --- p.104 / Chapter 11 --- CONCLUSION --- p.107 / APPENDICES / Chapter A --- COMPARISON OF SEMANTIC DATA MODELS --- p.110 / Chapter B --- CONSTRUCTION OP OCCURRENCES --- p.111 / Chapter C --- SYNTAX OF DDL FOR THE SCHEMA --- p.113 / Chapter D --- SYNTAX OF SEMANTIC MANIPULATION LANGUAGE --- p.116 / Chapter E --- TESTING SCHEMA FOR FUND INVESTMENT DBMS --- p.118 / Chapter F --- TESTING SCHEMA FOR STOCK INVESTMENT DBMS --- p.121 / Chapter G --- CONNECTION METHOD --- p.124 / Chapter H --- COMPARISON BETWEEN RESOLUTION AND CONNECTION METHOD --- p.128 / REFERENCES --- p.132
| Identifer | oai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_318567 |
| Date | January 1990 |
| Contributors | Yip, Wai Man., Chinese University of Hong Kong Graduate School. Division of Computer Science. |
| Publisher | Chinese University of Hong Kong |
| Source Sets | The Chinese University of Hong Kong |
| Language | English |
| Detected Language | English |
| Type | Text, bibliography |
| Format | print, 135 leaves : ill. ; 30 cm. |
| Rights | Use of this resource is governed by the terms and conditions of the Creative Commons “Attribution-NonCommercial-NoDerivatives 4.0 International” License (http://creativecommons.org/licenses/by-nc-nd/4.0/) |
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