| Description |
1 online resource (xvii, 150 pages) : illustrations |
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illustration |
| Series |
Synthesis lectures on data management, 2153-5426 ; #26 |
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Synthesis lectures on data management ; #26. 2153-5426
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| Contents |
Preface -- Acknowledgments -- 1. Introduction -- 1.1 Deep web vs. surface web -- 1.2 Web database technology -- 1.3 Paradigms for integrated access of the deep web -- 1.4 Book overview |
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2. Query interface representation and extraction -- 2.1 Characteristics of deep web query interfaces -- 2.2 Query interface representation models -- 2.3 Query interface extraction |
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3. Query interface clustering and categorization -- 3.1 Deep web sources discovery -- 3.2 Query interface clustering -- 3.3 Query interface categorization |
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4. Query interface matching -- 4.1 Traditional attribute matching -- 4.2 Query interface attribute matching challenges -- 4.3 Clustering based attribute matching -- 4.4 Statistical-based attribute matching -- 4.5 Instance based attribute matching |
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5. Query interface attribute integration -- 5.1 Traditional attribute integration -- 5.2 Generating global attributes -- 5.3 Domain value integration |
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6. Query interface integration -- 6.1 Traditional schema integration -- 6.2 Query interface merging -- 6.3 Labeling integrated query interfaces |
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7. Summary and future research -- Bibliography -- Authors' biographies |
| Summary |
There are millions of searchable data sources on the web and to a large extent their contents can only be reached through their own query interfaces. There is an enormous interest in making the data in these sources easily accessible. There are primarily two general approaches to achieve this objective. The first is to surface the contents of these sources from the deep web and add the contents to the index of regular search engines. The second is to integrate the searching capabilities of these sources and support integrated access to them. In this book, we introduce the state-of-the-art techniques for extracting, understanding, and integrating the query interfaces of deep web data sources. These techniques are critical for producing an integrated query interface for each domain. The interface serves as the mediator for searching all data sources in the concerned domain. While query interface integration is only relevant for the deep web integration approach, the extraction and understanding of query interfaces are critical for both deep web exploration approaches. This book aims to provide in-depth and comprehensive coverage of the key technologies needed to create high quality integrated query interfaces automatically. The following technical issues are discussed in detail in this book: query interface modeling, query interface extraction, query interface clustering, query interface matching, query interface attribute integration, and query interface integration |
| Analysis |
Deep Web |
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Web database |
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query interface |
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query interface model |
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query interface extraction |
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query interface integration |
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attribute matching |
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attribute integration |
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query interface clustering |
| Notes |
Part of: Synthesis digital library of engineering and computer science |
| Bibliography |
Includes bibliographical references (pages 139-148) |
| Notes |
English |
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Online resource; title from PDF title page (Morgan & Claypool, viewed Sept. 27, 2012) |
| Subject |
Invisible Web.
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Querying (Computer science)
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Database searching.
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online searching.
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Database searching
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Invisible Web
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Querying (Computer science)
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| Form |
Electronic book
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| Author |
Meng, Weiyi.
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Yu, C. T. (Clement T.)
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| ISBN |
9781608458950 |
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1608458954 |
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1608458946 |
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9781608458943 |
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9783031018893 |
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3031018893 |
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