One of the biggest obstacles to progress in modern pharmaceutical research is the difficulty of integrating all available research findings into effective therapies for humans. Studies of traditionally used pharmacologically active plants and other substances in traditional medicines may be valuable sources of previously unknown compounds with therapeutic actions. However, the integration of findings from traditional medicines can be fraught with difficulties and misunderstandings. This article proposes an approach to use linked open data and Semantic Web technologies to address the heterogeneous data integration problem. The approach is based on our initial experiences with implementing an integrated web of data for a selected use-case, i.e., the identification of plant species used in Chinese medicine that indicate potential antidepressant activities.
Integrating findings of traditional medicine with modern pharmaceutical research: the potential role of linked open data
M. Samwald,M. Dumontier,Jun Zhao,Joanne S. Luciano,M. S. Marshall,Kei-Hoi Cheung
Published 2010 in Chinese Medicine
ABSTRACT
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- Publication year
2010
- Venue
Chinese Medicine
- Publication date
2010-12-17
- Fields of study
Medicine, Computer Science
- Identifiers
- External record
- Source metadata
Semantic Scholar, PubMed
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