Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
An Ontological Approach to Integrate Health Resources from Different Categories of Services
Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.ORCID iD: 0000-0002-3127-7024
Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.ORCID iD: 0000-0002-6920-9983
Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.
2018 (English)In: HEALTHINFO 2018, The Third International Conference on Informatics and Assistive Technologies for Health-Care, Medical Support and Wellbeing, International Academy, Research and Industry Association (IARIA), 2018, p. 48-54Conference paper, Published paper (Refereed)
Abstract [en]

Effective and convenient self-management of health requires collaborative utilization of health data from different services provided by healthcare providers, consumer-facing products and even open data on the Web. Although health data interoperability standards include Fast Healthcare Interoperability Resources (FHIR) have been developed and promoted, it is impossible for all the different categories of services to adopt in the near future. The objective of this study aims to apply Semantic Web technologies to integrate the health data from heterogeneously built services. We present an Web Ontology Language (OWL)-based ontology that models together health data from FHIR standard implemented services, normal Web services and Linked Data. It works on the resource integration layer of the presented layered integration architecture. An example use case that demonstrates how this method integrates the health data into a linked semantic health resource graph with the proposed ontology is presented.

Place, publisher, year, edition, pages
International Academy, Research and Industry Association (IARIA), 2018. p. 48-54
Keywords [en]
Health data integration; ontology; FHIR; Semantic Web; Web service; eHealth; REST
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:bth-17171ISBN: 978-1-61208-675-0 (print)OAI: oai:DiVA.org:bth-17171DiVA, id: diva2:1259164
Conference
The Third International Conference on Informatics and Assistive Technologies for Health-Care, Medical Support and Wellbeing,HEALTHINFO, 2018-10-14 ~ 2018-10-18, Nice, France
Available from: 2018-10-28 Created: 2018-10-28 Last updated: 2023-12-28Bibliographically approved

Open Access in DiVA

fulltext(812 kB)258 downloads
File information
File name FULLTEXT01.pdfFile size 812 kBChecksum SHA-512
b377198e493411bbc525f31a39698dd65ce8d6ee325721f8c37934296b4575c5359ed16bb578c9336a8257ff9151aaa69703d5a543624195459709290b0e3d46
Type fulltextMimetype application/pdf

Authority records

Peng, CongGoswami, PrashantBai, Guohua

Search in DiVA

By author/editor
Peng, CongGoswami, PrashantBai, Guohua
By organisation
Department of Creative Technologies
Computer and Information Sciences

Search outside of DiVA

GoogleGoogle Scholar
Total: 258 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

isbn
urn-nbn

Altmetric score

isbn
urn-nbn
Total: 1007 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf