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Ontology Engineering Applications in Healthcare and Workforce Management Systems

  • David E Forbes
  • Pornpit Wongthongtham
  • Chamonix Terblanche
  • Udsanee Pakdeetrakulwong

Part of the Studies in Systems, Decision and Control book series (SSDC, volume 123)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. David E. Forbes, Pornpit Wongthongtham, Chamonix Terblanche, Udsanee Pakdeetrakulwong
    Pages 1-15
  3. David E. Forbes, Pornpit Wongthongtham, Chamonix Terblanche, Udsanee Pakdeetrakulwong
    Pages 17-25
  4. David E. Forbes, Pornpit Wongthongtham, Chamonix Terblanche, Udsanee Pakdeetrakulwong
    Pages 27-40
  5. David E. Forbes, Pornpit Wongthongtham, Chamonix Terblanche, Udsanee Pakdeetrakulwong
    Pages 41-52
  6. David E. Forbes, Pornpit Wongthongtham, Chamonix Terblanche, Udsanee Pakdeetrakulwong
    Pages 53-60
  7. David E. Forbes, Pornpit Wongthongtham, Chamonix Terblanche, Udsanee Pakdeetrakulwong
    Pages 61-77
  8. David E. Forbes, Pornpit Wongthongtham, Chamonix Terblanche, Udsanee Pakdeetrakulwong
    Pages 79-86
  9. David E. Forbes, Pornpit Wongthongtham, Chamonix Terblanche, Udsanee Pakdeetrakulwong
    Pages 87-97
  10. David E. Forbes, Pornpit Wongthongtham, Chamonix Terblanche, Udsanee Pakdeetrakulwong
    Pages 99-103

About this book

Introduction

Looking beyond the communications technology horizon and projecting future competency-specific employment demand, this book presents an evaluation of desirable information systems enhancements by integrating two disparate-domain computer ontologies. It provides readers a fresh solutions approach based on dynamic modeling and methodological contributions to philosophical and assistive communications system development in healthcare, addressing the need for both demand intelligence and practical work environment support. 

The pace of change in redefining occupation-specific employee resourcing needs is unrelenting and continues to accelerate. And the exponential growth in the demand for healthcare service delivery is correspondingly daunting. As such, the public and private sectors are faced with the challenge of sustaining credible relevant demand intelligence and recruitment practices, while integration, expansion and enrichment of ostensibly unconnected ontologies represent key R&D issues.

Keywords

Ontology Engineering Semantic Web Technology Ontology-based Applications Assistive Communication Technology Healthcare Communications Systems Employer Demand Intelligence

Authors and affiliations

  • David E Forbes
    • 1
  • Pornpit Wongthongtham
    • 2
  • Chamonix Terblanche
    • 3
  • Udsanee Pakdeetrakulwong
    • 4
  1. 1.Independent ResearcherPerthAustralia
  2. 2.Curtin UniversityPerthAustralia
  3. 3.City of CockburnPerthAustralia
  4. 4.Nakhon Pathom Rajabhat UniversityNakhon PathomThailand

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-65012-8
  • Copyright Information Springer International Publishing AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-65011-1
  • Online ISBN 978-3-319-65012-8
  • Series Print ISSN 2198-4182
  • Series Online ISSN 2198-4190
  • Buy this book on publisher's site