Publication

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

Iqbal, Aftab
Thumbnail Image
Files
Thumbnail Image
mmehdi_ideas14_0.pdf
Adobe PDF, 1.79 MB
Identifiers
https://deri.ie/sites/default/files/publications/mmehdi_ideas14_0.pdf
 http://hdl.handle.net/10379/4495
 https://doi.org/10.13025/21119
Publication Date
2014
Keywords
Type
conference paper
Downloads
Show all metadata
Citation
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. 
Funder
Publisher
Publisher DOI
Rights
CC BY-NC-ND
cbn
Collections
Data Science Institute (Conference Papers)