综合信息系统的质量驱动查询结果Quality-Driven Query Answering for Integrated Information Systems

分類: 图书,进口原版书,计算机 Computers & Internet ,
作者: Felix Naumann 著
出 版 社: Oversea Publishing House
出版时间: 2002-4-1字数:版次: 1页数: 166印刷时间: 2002/04/01开本: 32开印次: 1纸张: 胶版纸I S B N : 9783540433491包装: 平装内容简介
The Internet and the World Wide Web are becoming increasingly important in our highly interconnected world. This book addresses the topic of querying the data available, with regard to its quality, in a systematic and comprehensive way, from a database point of view. First, information quality and information quality measures are systematically introduced before ranking algorithms are developed for selecting Web sources for access. The second part is devoted to quality-driven query answering, particularly to query planning methods and algorithms.
The in-depth presentation of algorithms and techniques for quality-oriented querying will serve as a valuable source of reference for R&D professionals and for IT business people. In addition, the work will provide students with a comprehensible introduction to cutting-edge research.
目录
Part I. Querying the Web
Introduction
Centralized Databases Vs. the World, Wide Web
Information Quality on the Web
Problem Definition
Thesis Outlines
Integrating Autonomous Information Sources
The Mediator-Wrapper Architecture
The Universal Relation
Information Overlap
Applications
Related Work
Summary
Part II. Information Quality
Information Quality Criteria
Information Quality Criteria for the Web
Information Quality Assessment
Summary
Quality Ranking Methods
Quality Model
Scaling Methods
User Weighting
Ranking Methods
Comparison and Evaluation
Summary
Part III. Quality-Driven Query Answering
Quality-Driven Query Planning
Logical Query Planning
Attaching Quality Reasoning to Query Planning
Integrating Quality Reasoning and Query Planning
Related Work
Summary
Query Planning Revisited
Shortcomings of Conventional Query Planning
Merge Operators
Revised Logical Query Planning
Related Work
Summary
Completeness of Data
A Completeness Measure for Sources
A Completeness Measure for Plans
Properties of the Measures
Other Overlap Situations
Related Work
Summary
Completeness-Driven Query Optimization
Completeness Maximization
Maximizing Coverage
Maximizing Completeness
Algebraic Reordering
Summary
Part IV. Discussion
Conclusion
Summary
Further Applications for IQ-reasoning
An Appeal
References