1st Edition

Knowledge Architectures
Structures and Semantics




  • Available for pre-order. Item will ship after January 4, 2021
ISBN 9780367219444
January 4, 2021 Forthcoming by Routledge
528 Pages 90 B/W Illustrations

USD $54.95

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Book Description

Knowledge Architectures reviews traditional approaches to managing information and explains why they need to adapt to support twenty-first century information management and discovery.

 

Exploring the rapidly changing environment in which information is being managed and accessed, the book considers how to use knowledge architectures, the basic structures and designs that underlie all of the parts of an effective information system, to best advantage. Drawing on forty years of work with a variety of organizations, Bedford explains that failure to understand the structure behind any given system can be the difference between an effective solution, and a significant and costly failure. Demonstrating that the information user environment has shifted significantly in the past twenty years, the book explains that end users now expect designs and behaviours that are much closer to the way they think, work and act. Acknowledging how important it is that those responsible for developing an information or knowledge management system understand knowledge structures, the book goes beyond a traditional library science perspective and uses case studies to help translate the abstract and theoretical to the practical and concrete.

 

Explaining the structures in a simple and intuitive way and providing examples that clearly illustrate the challenges faced by a range of different organizations, Knowledge Architectures is essential reading for those studying and working in library and information science, data science, systems development, database design and search system architecture and engineering.

Table of Contents

List of figures

List of tables

Preface

Acknowledgements

Section 1: Context and Purpose of Knowledge Architecture

1 Making the Case for Knowledge Architecture

2 The Landscape of Knowledge Assets

3 Knowledge Architecture and Design

4 Knowledge Architecture Reference Model

5 Knowledge Architecture Segments

Section two: Designing for Availability

6 Functional Architecture for Knowledge Object Models

7 Functional Architecture for Knowledge Encoding, Formatting and Packaging

8 Functional Architecture for Knowledge Identification and Distinction

9 Functional Architecture for Knowledge Asset Disposition and Destruction

10 Functional Architecture for Knowledge Preservation and Conservation

Section 3: Designing to Accessibility

11 Functional Architecture for Knowledge Seeking and Discovery

12 Functional Architecture for Knowledge Search

13 Functional Architecture for Knowledge Categorization

14 Functional Architecture for Knowledge Indexing and Keywording

15 Functional Architecture for Knowledge Semantics

16 Functional Architecture for Knowledge Abstracting and Surrogation

Section 4: Designing for Consummability

17 Functional Architecture for Knowledge Augmentation, Derivation and Synthesis

18 Functional Architecture to Manage Risk and Harm

19 Functional Architecture for Knowledge Authentication and Provenance

20 Functional Architecture for Securing Knowledge Assets

21 Functional Architectures for Authorizing and Privileging Knowledge Assets

Section 5: Designing the Big Picture

22 Functional Architecture for Knowledge Asset Metadata and Metainformation

23 The Whole Knowledge Architecture – Pulling it all Together

Index

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Author(s)

Biography

Denise Bedford is currently an Adjunct Professor, Georgetown University’s Communication Culture and Technology program, USA; Visiting Scholar at the University of Coventry, UK, and a Distinguished Practitioner/Virtual Fellow with the U.S. Department of State. She currently serves as an Associate Editor of the Journal of Knowledge Management. Her educational background includes a B.A. triple major in Intellectual History, Russian Language, and German Language; an M.A. in Russian and East European History; an M.S. in Information Science; and a Ph.D. in Information Science with focus on Systems Analysis and Design, and Economics of Information.