Soft Computing in XML Data Management: Intelligent Systems from Decision Making to Data Mining, Web Intelligence and Computer Vision
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.
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Soft Computing in XML Data Management: Intelligent Systems from Decision Making to Data Mining, Web Intelligence and Computer Vision
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.
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Soft Computing in XML Data Management: Intelligent Systems from Decision Making to Data Mining, Web Intelligence and Computer Vision

Soft Computing in XML Data Management: Intelligent Systems from Decision Making to Data Mining, Web Intelligence and Computer Vision

Soft Computing in XML Data Management: Intelligent Systems from Decision Making to Data Mining, Web Intelligence and Computer Vision

Soft Computing in XML Data Management: Intelligent Systems from Decision Making to Data Mining, Web Intelligence and Computer Vision

Hardcover(2010)

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Overview

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.

Product Details

ISBN-13: 9783642140099
Publisher: Springer Berlin Heidelberg
Publication date: 07/08/2010
Series: Studies in Fuzziness and Soft Computing , #255
Edition description: 2010
Pages: 325
Product dimensions: 6.20(w) x 9.30(h) x 1.00(d)

Table of Contents

Part I Uncertainty in XML

An XML Schema for Managing Fuzzy Documents Barbara Oliboni Gabriele Pozzani 3

Formal Translation from Fuzzy XML to Fuzzy Nested Relational Database Schema Li Yan Jian Liu Z.M. Ma 35

Human Centric Data Representation: From Fuzzy Relational Databases into Fuzzy XML Keivan Kianmehr Tansel Özyer Anthony Lo Jamal Jida Alnaar Jiwani Yasin Alimohamed Krista Spence Reda Alhajj 55

Data Integration Using Uncertain XML Ander de Keijzer 79

Part II Flexibility in XML Data Management

Exploiting Vague Queries to Collect Data from Heterogeneous XML Sources Bettina Fazzinga 107

Fuzzy XQuery Marlene Goncalves Leonid Tineo 133

Attractive Interface for XML: Convincing Naive Users to Go Online Keivan Kianmehr Jamal Jida Allan Chan Nancy Situ Kim Wong Reda Alhajj Jon Rokne Ken Barker 165

An Overview of XML Duplicate Detection Algorithms Pável Calado Melanie Herschel Luis Leitäo 193

Part III Developments and Applications

Fuzzy-EPC Markup Language: XML Based Interchange Formats for Fuzzy Process Models Oliver Thomas Thorsten Dollmann 227

An XML Based Framework for Merging Incomplete and Inconsistent Statistical Information from Clinical Trials Jianbing Ma Weiru Liu Anthony Hunter Weiya Zhang 259

Aliança: A Proposal for a Fuzzy Database Architecture Incorporating XML Raquel D. Rodrigues Adriano J. de O. Cruz Rafael T. Cavalcanti 291

Leveraging Semantic Approximations in Heterogeneous XML Data Sharing Networks: The SUNRISE Approach Federica Mandreoli Riccardo Martoglia Wilma Penzo Simona Sassatelli Giorgio Villani 315

Author Index 351

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