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Extraction and Exploitation of Intensional Knowledge from Heterogeneous Information Sources

Semi-Automatic Approaches and Tools

  • Book
  • © 2002

Overview

Authors:
  1. Domenico Ursino

    1. DIMET -Dipartimento di Informatica, Matematica, Elettronica e Trasporti, Università degli Studi di Reggio Calabria, Reggio Calabria, Italy

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 2282)

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Table of contents (16 chapters)

  1. Front Matter

    Pages I-XXVI
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  2. Introduction

    1. Introduction

      Pages 1-22

  4. Construction of a Cooperative Information System and of a Data Warehouse

    1. Front Matter

      Pages 110-111
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    2. Construction of a Data Repository

      Pages 113-142

    3. Construction of a Cooperative Information System

      Pages 143-159

    4. Construction of a Data Warehouse

      Pages 161-169

  6. Final Issues

    1. Front Matter

      Pages 252-253
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    2. A Look at the Future

      Pages 255-265
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Keywords

About this book

The problem of integrating multiple information sources into a uni?ed data store is currently one of the most important challenges in data management. Within the ?eld of source integration, the problem of automatically gen- ating an integrated description of the data sources is surely one of the most relevant. The signi?cance of the issue can be best understood if one c- siders the huge number of information sources that an organization has to integrate. Indeed, it is even impossible to try to do all the work by hand. Like other important issues in data management, the problem of integrating multiple data sources into a unique global system has several facets, each of which represents, “per se”, an interesting research problem, and comprises, for instance, that of recognizing, at the intensional level, similarities and dissimilarities among scheme objects, that of resolving representation m- matches among schemes, and that of deciding how to obtain an integrated data store out of a set of input sources and of a semantic description of their contents. The research and application relevance of such issues has attracted wide interest in the database community in recent years. And, as a con- quence, several techniques have been presented in the literature attacking one side or another of this complex and multifarious problem.

Authors and Affiliations

  • DIMET -Dipartimento di Informatica, Matematica, Elettronica e Trasporti, Università degli Studi di Reggio Calabria, Reggio Calabria, Italy

    Domenico Ursino

Bibliographic Information

  • Book Title: Extraction and Exploitation of Intensional Knowledge from Heterogeneous Information Sources

  • Book Subtitle: Semi-Automatic Approaches and Tools

  • Authors: Domenico Ursino

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/3-540-70735-2

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2002

  • Softcover ISBN: 978-3-540-43347-7Published: 06 March 2002

  • eBook ISBN: 978-3-540-70735-6Published: 31 July 2003

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XXVI, 292

  • Topics: Database Management, Artificial Intelligence, Information Storage and Retrieval

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