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| Title | Discovering Domain-Specific Public SPARQL Endpoints: A Life-Sciences Use-Case |
| Authors | Muntazir Mehdi, Aftab Iqbal, Aidan Hogan, Ali Hasnain, Yasar Khan, Stefan Decker, Ratnesh Sahay |
| Publication date | 2014 |
| Abstract | 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. |
| Pages | 39-45 |
| Conference name | International Database Engineering & Applications Symposium |
| Publisher | ACM Press (New York, NY, USA) |
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