Conference Publication Details
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Mehdi, M;Iqbal, A;Hogan, A;Hasnain, A;Khan, Y;Decker, S;Sahay, R
PROCEEDINGS OF THE 18TH INTERNATIONAL DATABASE ENGINEERING AND APPLICATIONS SYMPOSIUM (IDEAS14)
Discovering Domain-Specific Public SPARQL Endpoints: A Life-Sciences Use-Case
2014
January
Published
1
WOS: 5 ()
Optional Fields
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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