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Soft Computing in XML Data Management

by Ma, Zongmin.
Authors: Yan, Li.%editor. | SpringerLink (Online service) Series: Studies in Fuzziness and Soft Computing, 1434-9922 ; . 255 Physical details: 325p. 108 illus. online resource. ISBN: 3642140106 Subject(s): Engineering. | Artificial intelligence. | Engineering mathematics. | Engineering. | Appl.Mathematics/Computational Methods of Engineering. | Artificial Intelligence (incl. Robotics).
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E-Book E-Book AUM Main Library 519 (Browse Shelf) Not for loan

Uncertainty in XML -- An XML Schema for Managing Fuzzy Documents -- Formal Translation from Fuzzy XML to Fuzzy Nested Relational Database Schema -- Human Centric Data Representation: From Fuzzy Relational Databases into Fuzzy XML -- Data Integration Using Uncertain XML -- Flexibility in XML Data Management -- Exploiting Vague Queries to Collect Data from Heterogeneous XML Sources -- Fuzzy XQuery -- Attractive Interface for XML: Convincing Naive Users to Go Online -- An Overview of XML Duplicate Detection Algorithms -- Developments and Applications -- Fuzzy-EPC Markup Language: XML Based Interchange Formats for Fuzzy Process Models -- An XML Based Framework for Merging Incomplete and Inconsistent Statistical Information from Clinical Trials -- Aliança: A Proposal for a Fuzzy Database Architecture Incorporating XML -- Leveraging Semantic Approximations in Heterogeneous XML Data Sharing Networks: The SUNRISE Approach.

This book covers in a great depth the fast growing topic of techniques, tools and applications of soft computing in XML data management. It is shown how XML data management (like model, query, integration) can be covered with a soft computing focus. This book aims to provide a single account of current studies in soft computing approaches to XML data management. The objective of the book is to provide the state of the art information to researchers, practitioners, and graduate students of the Web intelligence, and at the same time serving the information technology professional faced with non-traditional applications that make the application of conventional approaches difficult or impossible.

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