Linking African Traditional Medicine Knowledge

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.
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Submitted on : Friday, June 1, 2018 - 11:36:20 AM
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  • HAL Id : hal-01804941, version 1



Gossa Lô, Victor de Boer, Stefan Schlobach, Gayo Diallo. Linking African Traditional Medicine Knowledge. Semantic Web Applications and Tools for Healthcare and Life Sciences (SWAT4LS), Dec 2017, Rome, Italy. ⟨hal-01804941⟩



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