You are here

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 Type: 
Refereed Conference Meeting Proceeding
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.
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: 
Proceedings of 18th International Database Engineering & Applications Symposium IDEAS '14. Publisher ACM
Digital Object Identifer (DOI): 
10.1145/2628194.2628220
Publication Date: 
09/07/2014
Conference Location: 
Portugal
Research Group: 
Institution: 
National University of Ireland, Galway (NUIG)
Open access repository: 
No
Publication document: