Advertisement

© 2016

Interdisciplinary Knowledge Organization

Book

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Rick Szostak, Claudio Gnoli, María López-Huertas
    Pages 1-33
  3. Rick Szostak, Claudio Gnoli, María López-Huertas
    Pages 35-64
  4. Rick Szostak, Claudio Gnoli, María López-Huertas
    Pages 65-91
  5. Rick Szostak, Claudio Gnoli, María López-Huertas
    Pages 93-110
  6. Rick Szostak, Claudio Gnoli, María López-Huertas
    Pages 111-129
  7. Rick Szostak, Claudio Gnoli, María López-Huertas
    Pages 131-150
  8. Rick Szostak, Claudio Gnoli, María López-Huertas
    Pages 151-170
  9. Rick Szostak, Claudio Gnoli, María López-Huertas
    Pages 171-185
  10. Rick Szostak, Claudio Gnoli, María López-Huertas
    Pages 187-208
  11. Rick Szostak, Claudio Gnoli, María López-Huertas
    Pages 209-222
  12. Back Matter
    Pages 223-227

About this book

Introduction

This book proposes a novel approach to classification, discusses its myriad advantages, and outlines how such an approach to classification can best be pursued. It encourages a collaborative effort toward the detailed development of such a classification. This book is motivated by the increased importance of interdisciplinary scholarship in the academy, and the widely perceived shortcomings of existing knowledge organization schemes in serving interdisciplinary scholarship. It is designed for scholars of classification research, knowledge organization, the digital environment, and interdisciplinarity itself. The approach recommended blends a general classification with domain-specific classification practices. The book reaches a set of very strong conclusions:

-Existing classification systems serve interdisciplinary research and teaching poorly.

-A novel approach to classification, grounded in the phenomena studied rather than disciplines, would serve interdisciplinary scholarship much better. It would also have advantages for disciplinary scholarship. The productivity of scholarship would thus be increased.

-This novel approach is entirely feasible. Various concerns that might be raised can each be addressed. The broad outlines of what a new classification would look like are developed.

-This new approach might serve as a complement to or a substitute for existing classification systems.

-Domain analysis can and should be employed in the pursuit of a general classification. This will be particularly important with respect to interdisciplinary domains.

-Though the impetus for this novel approach comes from interdisciplinarity, it is also better suited to the needs of the Semantic Web, and a digital environment more generally.

Though the primary focus of the book is on classification systems, most chapters also address how the analysis could be extended to thesauri and ontologies. The possibility of a universal thesaurus is explored. The classification proposed has many of the advantages sought in ontologies for the Semantic Web. The book is therefore of interest to scholars working in these areas as well.                                                                                                                                                    


Keywords

interdisciplinary knowledge organization classification domain analysis ontologies thesauri transdiscipinarity semantic web digitization synthetic facet analysis integrative levels basic concepts

Authors and affiliations

  1. 1.University of AlbertaEDMONTONCanada
  2. 2.Dipto. MatematicaUniversità di PaviaPaviaItaly
  3. 3.University of GranadaGranadaSpain

About the authors

                                                                                                                            

Bibliographic information

Industry Sectors
Pharma
Automotive
Chemical Manufacturing
Biotechnology
IT & Software
Telecommunications
Consumer Packaged Goods
Engineering
Finance, Business & Banking
Electronics
Energy, Utilities & Environment
Aerospace

Reviews