Towards a health observatory conceptual model based on the semantic web

Yoshiura, Vinicius Tohoru; Yamada, Diego Bettiol; Pellison, Felipe Carvalho; Lima, Inácia Bezerra de; Damian, Ieda Pelogia Martins; Rijo, Rui, Rui Pedro Charters Lopes; Marques, João Mazzoncini de Azevedo; Alves, Domingos

http://hdl.handle.net/10400.8/13597

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Authors

Yoshiura, Vinicius Tohoru

Yamada, Diego Bettiol

Pellison, Felipe Carvalho

Lima, Inácia Bezerra de

Damian, Ieda Pelogia Martins

Rijo, Rui, Rui Pedro Charters Lopes

Marques, João Mazzoncini de Azevedo

Alves, Domingos

Abstract(s)

Introduction. Health Observatories have gained global popularity and have been established worldwide since the 1970s. With the advent of the Semantic Web, machines can process, reuse, integrate and understand the meaning (semantics) of the information and knowledge on the World Wide Web to perform complex tasks. Objective. To propose a health observatory conceptual model based on Semantic Web in order to assist in the design, development and implementation processes of a Health Observatory. Methods. The proposed model was based on a conceptual analysis that include Semantic Web technologies narrative review, multi-layer software architecture and an integrative review of Health Observatories. Results. The proposed Health Observatory conceptual model consists of a chain of several related components based on information technology multi-layer architecture, Semantic Web technologies, Health Observatories stakeholders and key concepts. Conclusion. The proposed model can provide opportunities for the development and implementation of new observatories or for the adequacy of existing Health Observatories.

Keywords

Health observatory semantic web conceptual model

URI

http://hdl.handle.net/10400.8/13597

Citation

Vinicius Tohoru Yoshiura, Diego Bettiol Yamada, Felipe Carvalho Pellison, Inácia Bezerra de Lima, Ieda Pelogia Martins Damian, Rui Pedro Charters Lopes Rijo, João Mazzoncini de Azevedo Marques, Domingos Alves, Towards a health observatory conceptual model based on the semantic web, Procedia Computer Science, Volume 138, 2018, Pages 131-136, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2018.10.019.