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.
Presents recent research in ontology engineering, with a focus on the healthcare and workforce domains Addresses the practical aspects of the two application domains Will benefit researchers, postgraduate students, consultants and practitioners alike
Presents recent research in ontology engineering, with a focus on the healthcare and workforce domains Addresses the practical aspects of the two application domains Will benefit researchers, postgraduate students, consultants and practitioners alike Includes supplementary material: sn.pub/extras
David E Forbes
Ontology Engineering Semantic Web Technology Ontology-based Applications Assistive Communication Technology Healthcare Communications Systems Employer Demand Intelligence
“This brief book is interesting for practitioners and researchers working on the development and engineering of ontologies. The examples represented in PROTÉGÉ and OWL may help others develop similar applications. … The system described in the book provides solutions for management and communication problems within healthcare in Australia; the solutions can be considered as thought provoking for other subject domains as well.” (Bálint Molnár, Computing Reviews, April, 2018)
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