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Soft Computing in XML Data Management

Intelligent Systems from Decision Making to Data Mining, Web Intelligence and Computer Vision

  • Book
  • © 2010

Overview

Editors:
  1. Zongmin Ma

    1. Northeastern University, Liaoning, China

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    You can also search for this editor in PubMed   Google Scholar

  2. Li Yan

    1. Northeastern University, Liaoning, China

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Present recent technologies and applications of soft computing technologies in XML data management
  • Written by experts in the field
  • Introduces new concepts

Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 255)

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Table of contents (12 chapters)

  1. Front Matter

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  2. Uncertainty in XML

    1. Front Matter

      Pages 1-1
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    2. An XML Schema for Managing Fuzzy Documents

      • Barbara Oliboni, Gabriele Pozzani
      Pages 3-34

    3. Formal Translation from Fuzzy XML to Fuzzy Nested Relational Database Schema

      • Li Yan, Jian Liu, Z. M. Ma
      Pages 35-54

    4. Human Centric Data Representation: From Fuzzy Relational Databases into Fuzzy XML

      • Keivan Kianmehr, Tansel Özyer, Anthony Lo, Jamal Jida, Alnaar Jiwani, Yasin Alimohamed et al.
      Pages 55-77

    5. Data Integration Using Uncertain XML

      • Ander de Keijzer
      Pages 79-103

  3. Flexibility in XML Data Management

    1. Front Matter

      Pages 105-105
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    2. Exploiting Vague Queries to Collect Data from Heterogeneous XML Sources

      • Bettina Fazzinga
      Pages 107-132

    3. Fuzzy XQuery

      • Marlene Goncalves, Leonid Tineo
      Pages 133-163

    4. Attractive Interface for XML: Convincing Naive Users to Go Online

      • Keivan Kianmehr, Jamal Jida, Allan Chan, Nancy Situ, Kim Wong, Reda Alhajj et al.
      Pages 165-191

    5. An Overview of XML Duplicate Detection Algorithms

      • Pável Calado, Melanie Herschel, Luís Leitão
      Pages 193-224

  4. Developments and Applications

    1. Front Matter

      Pages 225-225
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    2. Fuzzy-EPC Markup Language: XML Based Interchange Formats for Fuzzy Process Models

      • Oliver Thomas, Thorsten Dollmann
      Pages 227-257

    3. An XML Based Framework for Merging Incomplete and Inconsistent Statistical Information from Clinical Trials

      • Jianbing Ma, Weiru Liu, Anthony Hunter, Weiya Zhang
      Pages 259-290

    4. Aliança: A Proposal for a Fuzzy Database Architecture Incorporating XML

      • Raquel D. Rodrigues, Adriano J. de O. Cruz, Rafael T. Cavalcanti
      Pages 291-313

    5. Leveraging Semantic Approximations in Heterogeneous XML Data Sharing Networks: The SUNRISE Approach

      • Federica Mandreoli, Riccardo Martoglia, Wilma Penzo, Simona Sassatelli, Giorgio Villani
      Pages 315-350

  5. Back Matter

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Keywords

About this book

Being the de-facto standard for data representation and exchange over the Web, XML (Extensible Markup Language) allows the easy development of applications that exchange data over the Web. This creates a set of data management requirements involving XML. XML and related standards have been extensively applied in many business, service, and multimedia applications. As a result, a large volume of data is managed today directly in XML format. With the wide and in-depth utilization of XML in diverse application domains, some particularities of data management in concrete applications emerge, which challenge current XML technology. This is very similar with the situation that some database models and special database systems have been developed so that databases can satisfy the need of managing diverse data well. In data- and knowledge- intensive application systems, one of the challenges can be generalized as the need to handle imprecise and uncertain information in XML data management by applying fuzzy logic, probability, and more generally soft computing. Currently, two kinds of situations are roughly identified in soft computing for XML data management: applying soft computing for the intelligent processing of classical XML data; applying soft computing for the representation and processing of imprecise and uncertain XML data. For the former, soft computing can be used for flexible query of XML document as well as XML data mining, XML duplicate detection, and so on.

Editors and Affiliations

  • Northeastern University, Liaoning, China

    Zongmin Ma, Li Yan

Bibliographic Information

  • Book Title: Soft Computing in XML Data Management

  • Book Subtitle: Intelligent Systems from Decision Making to Data Mining, Web Intelligence and Computer Vision

  • Editors: Zongmin Ma, Li Yan

  • Series Title: Studies in Fuzziness and Soft Computing

  • DOI: https://doi.org/10.1007/978-3-642-14010-5

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2010

  • Hardcover ISBN: 978-3-642-14009-9Published: 07 July 2010

  • Softcover ISBN: 978-3-642-26401-6Published: 05 September 2012

  • eBook ISBN: 978-3-642-14010-5Published: 07 September 2010

  • Series ISSN: 1434-9922

  • Series E-ISSN: 1860-0808

  • Edition Number: 1

  • Number of Pages: 325

  • Number of Illustrations: 108 b/w illustrations

  • Topics: Mathematical and Computational Engineering, Artificial Intelligence

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