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Linking Health Web Services as Resource Graph by Semantic REST Resource Tagging
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: Procedia Computer Science / [ed] Shakshuki E.,Yasar A., Elsevier, 2018, Vol. 141, p. 319-326Conference paper, Published paper (Refereed)
Abstract [en]

Various health Web services host a huge amount of health data about patients. The heterogeneity of the services hinders the collaborative utilization of these health data, which can provide a valuable support for the self-management of chronic diseases. The combination of REST Web services and Semantic Web technologies has proven to be a viable approach to address the problem. This paper proposes a method to add semantic annotations to the REST Web services. The service descriptions and the resource representations with semantic annotations can be transformed into a resource graph. It integrates health data from different services, and can link to the health-domain ontologies and Linked Open Health Data to support health management and imaginative applications. The feasibility of out method is demonstrated by realizing with OpenAPI service description and JSON-LD representation in an example use case.

Place, publisher, year, edition, pages
Elsevier, 2018. Vol. 141, p. 319-326
Keywords [en]
health data integration; eHealth; Web service description; Semantic Web; REST
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:bth-16850DOI: 10.1016/j.procs.2018.10.194ISI: 000471261700040OAI: oai:DiVA.org:bth-16850DiVA, id: diva2:1238083
Conference
9th International Conference on Emerging Ubiquitous Systems and Pervasive Networks, EUSPN 2018; Leuven; Belgium; 5 November 2018 through 8 November 2018
Note

open access

Available from: 2018-08-12 Created: 2018-08-12 Last updated: 2023-12-28Bibliographically approved

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fulltext(393 kB)350 downloads
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Goswami, PrashantBai, Guohua

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