Linking African Traditional Medicine Knowledge

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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.
Original languageEnglish
Title of host publicationSWAT4LS 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
EditorsAdrian Paschke, Albert Burger, Andrea Splendiani, M. Scott Marshall, Paolo Romano, Valentina Presutti
PublisherCEUR-WS.org
Number of pages5
Publication statusPublished - 2017

Publication series

NameCEUR Workshop Proceedings
PublisherCEUR ws-org
Volume2042

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