Conference Publication Details
Mandatory Fields
Mehdi, M,Iqbal, A,Hogan, A,Hasnain, A,Khan, Y,Decker, S,Sahay, R,Almeida, A,Bernardino, J,Gomes, EF
Discovering Domain-Specific Public SPARQL Endpoints: A Life-Sciences Use-Case
PROCEEDINGS OF THE 18TH INTERNATIONAL DATABASE ENGINEERING AND APPLICATIONS SYMPOSIUM (IDEAS14)
2014
January
Published
1
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Optional Fields
Linked Open Data (LOD) Cloud Web of Data SPARQL Healthcare and Life Sciences
39
45
A significant portion of the LOD cloud consists of Life Sciences data sets, which together contain billions of clinical facts that interlink to form a "Web of Clinical Data". However, tools for new publishers to find relevant datasets that could potentially be linked to are missing, particularly in specialist domain-specific settings. Based on a set of domain-specific keywords extracted from a local dataset, this paper proposes methods to automatically identify relevant public SPARQL endpoints from a list of candidates.
10.1145/2628194.2628220
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