Discovering Domain-Specific Public SPARQL Endpoints: A Life-Sciences Use-Case
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Date
2014Author
Iqbal, Aftab
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Muntazir Mehdi and Aftab Iqbal and Aidan Hogan and Ali Hasnain and Yasar Khan and Stefan Decker and Ratnesh Sahay (2014) Discovering Domain-Specific Public SPARQL Endpoints: A Life-Sciences Use-Case 18th International Database Engineering & Applications Symposium Portugal,
Abstract
A significant portion of the LOD cloud consists of Life Sciences data sets. The LOD cloud contains billions of clinical
facts linked together forming an interlinked 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 a list of public SPARQL endpoints whose content relates
to the local dataset.
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Conference paper
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https://deri.ie/sites/default/files/publications/mmehdi_ideas14_0.pdfhttp://hdl.handle.net/10379/4495