Quotation Kamdar, Maulik R., Polleres, Axel, Fernandez Garcia, Javier David, Tudorache, Tania, Musen, Mark A. 2019. Enabling Web-scale data integration in biomedicine through Linked Open Data. npj Digital Medicine. 2 (1)




The biomedical data landscape is fragmented with several isolated, heterogeneous data and knowledge sources, which use varying formats, syntaxes, schemas, and entity notations, existing on the Web. Biomedical researchers face severe logistical and technical challenges to query, integrate, analyze, and visualize data from multiple diverse sources in the context of available biomedical knowledge. Semantic Web technologies and Linked Data principles may aid toward Web-scale semantic processing and data integration in biomedicine. The biomedical research community has been one of the earliest adopters of these technologies and principles to publish data and knowledge on the Web as linked graphs and ontologies, hence creating the Life Sciences Linked Open Data (LSLOD) cloud. In this paper, we provide our perspective on some opportunities proffered by the use of LSLOD to integrate biomedical data and knowledge in three domains: (1) pharmacology, (2) cancer research, and (3) infectious diseases. We will discuss some of the major challenges that hinder the wide-spread use and consumption of LSLOD by the biomedical research community. Finally, we provide a few technical solutions and insights that can address these challenges. Eventually, LSLOD can enable the development of scalable, intelligent infrastructures that support artificial intelligence methods for augmenting human intelligence to achieve better clinical outcomes for patients, to enhance the quality of biomedical research, and to improve our understanding of living systems.


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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal npj Digital Medicine
Language English
Title Enabling Web-scale data integration in biomedicine through Linked Open Data
Volume 2
Number 1
Year 2019
URL https://www.nature.com/articles/s41746-019-0162-5
DOI http://dx.doi.org/10.1038/s41746-019-0162-5
Open Access Y
Open Access Link https://www.nature.com/articles/s41746-019-0162-5


Polleres, Axel (Details)
Fernandez Garcia, Javier David (Former researcher)
Kamdar, Maulik R. (1 Center for Biomedical Informatics Research, United States/USA)
Musen, Mark A. (Center for Biomedical Informatics Research, United States/USA)
Tudorache, Tania (1 Center for Biomedical Informatics Research, United States/USA)
Data, Process and Knowledge Management (AE Polleres) (Details)
Institute for Data, Process and Knowledge Management IN (Details)
Research areas (Ă–STAT Classification 'Statistik Austria')
1100 Mathematics, information technology (Details)
1109 Information and data processing (Details)
1122 Artificial intelligence (Details)
5367 Management information systems (Details)
5937 Information systems (Details)
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