Abstract
African Traditional Medicine (ATM) is widely used in Africa
as the first-line of treatment thanks to its accessibility and affordability.
However, the lack of formalization of this knowledge can lead to safety
issues and malpractice. This paper investigates a possible contribution
of the Semantic Web in realizing the formalization and integration of
ATM with data on conventional medicine (CM). As a proof of concept
we convert various ATM datasets and link them to CM data. This results
in a Linked ATM knowledge graph. We finally give some examples with
some interesting SPARQL queries and insightful results.
as the first-line of treatment thanks to its accessibility and affordability.
However, the lack of formalization of this knowledge can lead to safety
issues and malpractice. This paper investigates a possible contribution
of the Semantic Web in realizing the formalization and integration of
ATM with data on conventional medicine (CM). As a proof of concept
we convert various ATM datasets and link them to CM data. This results
in a Linked ATM knowledge graph. We finally give some examples with
some interesting SPARQL queries and insightful results.
| Original language | English |
|---|---|
| Title of host publication | SWAT4LS 2017 Semantic Web Applications and Tools for Health Care and Life Sciences |
| Subtitle of host publication | Proceedings of the 10th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences (SWAT4LS 2017) Rome, Italy, December 4-7, 2017 |
| Editors | Adrian Paschke, Albert Burger, Andrea Splendiani, M. Scott Marshall, Paolo Romano, Valentina Presutti |
| Publisher | CEUR-WS.org |
| Number of pages | 5 |
| Publication status | Published - 2017 |
Publication series
| Name | CEUR Workshop Proceedings |
|---|---|
| Publisher | CEUR ws-org |
| Volume | 2042 |