Web Data Management

1. Front Matter

   Pages i-xxi

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2. Introduction

   Pages 1-16

3. A Survey of Web Data Management Systems

   Pages 17-63

4. Node and Link Objects

   Pages 65-92

5. Predicates on Node and Link Objects

   Pages 93-126

6. Imposing Constraints on Hyperlink Structures

   Pages 127-143

7. Query Mechanism for the Web

   Pages 145-206

8. Schemas for Warehouse Data

   Pages 207-250

9. WHOM-Algebra

   Pages 251-351

10. Web Data Visualization

    Pages 353-366

11. Detecting and Representing Relevant Web Deltas

    Pages 367-387

12. Knowledge Discovery Using Web Bags

    Pages 389-416

13. The Road Ahead

    Pages 417-448

14. Back Matter

    Pages 449-465

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Existence of huge amounts of data on the Web has developed an undeferring need to locate right information at right time, as well as to integrating information effectively to provide a comprehensive source of relevant information. There is a need to develop efficient tools for analyzing and managing Web data, and efficiently managing Web information from the database perspective. The book proposes a data model called WHOM (Warehouse Object Model) to represent HTML and XML documents in the warehouse. It defines a set of web algebraic operators for building new web tables by extracting relevant data from the Web, as well as generating new tables from existing ones. These algebraic operators are used for change detection.

• Extensible Markup Language (XML)
• database
• visualization

• School of Computer Engineering, Nanyang Technological University, Nanyang, Singapore

  Sourav S. Bhowmick, Wee Keong Ng

• Department of Computer Science, University of Missouri, Rolla, USA

  Sanjay K. Madria

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