来自不同信息源的内涵知识的析取与利用：半自动方法与工具Extraction and Exploitation of Intensional Knowlesge from Heterogeneous Information Sources
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作者： Domenico Ursino 著
出 版 社： Oversea Publishing House
出版时间： 2002-4-1字数：版次： 1页数： 289印刷时间： 2002/04/01开本： 32开印次： 1纸张： 胶版纸I S B N ： 9783540433477包装： 平装内容简介
This book is the first comprehensive approach to the construction and the management of cooperative information systems. From a set of input database schemes describing the information content of multiple sources, the techniques presented yield a structured, integrated and consistent description of the information content represented in a suitable data repository. The author builds his work on skilled and controlled use of results and methods from various fields of computer science, such as data mining, algorithmic learning, knowledge representation, database management, etc. The approach presented has been implemented in the prototype system DIKE, Database Intensional Knowledge Extractor, which has been studied in various application contexts.
目录
Introduction
Motivations
Problem Statement and Approach Description
General Characteristics
Derivation of Interscheme Properties
Construction of a Data Repository
Exploiting the Data Repository for Constructing a CIS or a DW
Related Works
Interscheme Property Dermation
Data Repository Construction
Synthesis of Cooperative Information Systems
Synthesis of Data Warehouses
Contribution
Interscheme Property Derivation
Data Repository Construction
Synthesis of a Cooperative Information System
Synthesis of a Data Warehouse
Experiments
Plan of the Thesis
Part I Property Extraction
Extraction of Synonymies, Homonymies and Type Conflicts
General Characteristics of the Approach
Definition of the Graph-Based Metrics
External Fixpoint
Overview
Technical Details
Internal Fixpoints
Overview
Technical Details
A Complete Example
Complexity Issues
Sensitivity Analysis
Changes in the LSPD
Changes in the Weights ws(i)
Changes in the Weight wc
Changes in the Weights wn, wd and wk
Result Summary
Extraction of Object Cluster Similarities
General Characteristics of the Approach
Derivation of Object Cluster Similarities
A Complete Example
Complexity Issues
Extraction of Hyponymies and Overlappings
Introduction
Deriving Basic Hyponymies and Overlappings
General Characteristics of the Approach
Technical Details
……
Part II Construction of a Cooperative Information System and of a Data Warehouse
Part III System Description and Experimentations
Part IV Final Issues
A. Appendix
Attribute)-Relationship Conflict
Index
