Name
Abstract | ||
|---|---|---|
Malaria is an infectious disease affecting people across tropical countries. In order to devise efficient interventions, surveillance experts need to be able to answer increasingly complex queries integrating information coming from repositories distributed all over the globe. This, in turn, requires extraordinary coding abilities that cannot be expected from non-technical surveillance experts. In this paper, we present a deployment of Semantic Automated Discovery and Integration (SADI) Web services for the federation and querying of malaria data. More than 10 services were created to answer an example query requiring data coming from various sources. Our method assists surveillance experts in formulating their queries and gaining access to the answers they need. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.3233/978-1-61499-852-5-6 | Studies in Health Technology and Informatics |
Keywords | Field | DocType |
Interoperability,Web Services,Malaria Surveillance,Malaria Analytics,Distributed Data | Data science,Knowledge management,Malaria,Medicine,Semantic data model | Conference |
Volume | ISSN | Citations |
247 | 0926-9630 | 1 |
PageRank | References | Authors |
0.36 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jon Haël Brenas | 1 | 13 | 6.13 |
| Mohammad Sadnan Al Manir | 2 | 14 | 5.43 |
| Kate Zinszer | 3 | 1 | 0.36 |
| christopher j o baker | 4 | 329 | 30.96 |
| Arash Shaban-Nejad | 5 | 91 | 21.63 |