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基于品质解答的综合信息查询系统Quality-Driven Query Answering for Integrated Information Systems

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基于品质解答的综合信息查询系统Quality-Driven Query Answering for Integrated Information Systems

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定 价：￥110.00

作 者：FelixNaumann 著 著

出 版 社：Oversea Publishing House

出版时间：2002-4-1

I S B N：9783540433491

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    内容简介
    The Internet and the World Wide Web are becoming increasingly important in our highly interconnected world. Many individuals as well as governmental，commercial，Cultural，and scientific organizations increasingly depend on distributed information sources that can be assessed and queried over the Web.Obviously，in many application contexts，it is not only the in-formation content that is important.The information about the quality of the data is becoming an even more crucial and critical aspect when it comes to taking ar-reaching decisions based on the results of the queries.
    With this book，the author is one of the first to address the topic of querying data 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.

    作者简介

    目录
    PartⅠ.Querying the Web
    1 Introduction
    1.1 Centralized Databases Vs.the World Wide Web
    1.2 Information Quality on the Web
    1.3 Problem Definition
    1.4 Thesis Outline
    2 Integrating AutOnomous
    2.1 The Mediator—Wrapper
    2.2 The Universal Relation
    2.3 Information Overlap
    2.4 Applications
    2.5 Related Work
    2.6 Summary
    PartⅡ.Information Quality
    3 Information Quality Criteria
    3.1 Information Quality Criteria for the Web
    3.2 Information Quality Assessment
    3.3 Summary
    4 Quality Ranking Methods
    4.1 Quality Model
    4.2 Scaling Methods
    4.3 User Weighting
    4.4 Ranking Methods
    4.5 Comparison and Evaluation
    4.6 Summary
    PartⅢ.Quality-Driven Query Answering
    5 Quality-Driven Query Planning
    5.1 Logical Query Planning
    5.2 Attaching Quality Reasoning to Query Planning
    5.3 Integrating Quality Reasoning and Query Planning
    5.4 Related W0rk
    5.5 Summary
    6 Query Planning Revisited
    6.1 Shortcomings of Conventional Query Planning
    6.2 Merge Operators
    6.3 Revised Logical Query Planning
    6.4 Related Work
    6.5 Summary
    7 Completeness of Data
    7.1 A Completeness Measure for Sources
    7.2 A Completeness Measure for Plans
    7.3 Properties of the Measures
    7.4 0ther Overlap Situations
    7.5 Related W0rk
    7.6 Summary
    8 Completeness-Driven Query Optimization
    8.1 Completeness Maximization
    8.2 Maximizing Coverage
    8.3 Maximizing Completeness
    8.4 Algebraic Reordering
    8.5 Summary
    PartⅣ.Discussion
    9 Conclusion
    9.1 Summary
    9.2 Further Applications for IQ—reasoning
    9.3 An Appeal
    References

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