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Discovering Domain-Specific Public SPARQL Endpoints: A Life-Sciences Use-Case


Muntazir Mehdi, Aftab Iqbal, Aidan Hogan, Ali Hasnain, Yasar Khan, Stefan Decker, Ratnesh Sahay

Publication Type: 
Refereed Conference Meeting Proceeding
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.
Conference Name: 
18th International Database Engineering & Applications Symposium IDEAS '14 would be hosted by the Instituto Superior de Engenharia do Porto: ISEP Porto, Portugal
Proceedings of 18th International Database Engineering & Applications Symposium IDEAS '14. Publisher ACM
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Research Group: 
National University of Ireland, Galway (NUIG)
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