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

被引：8
|
作者：
Mehdi, Muntazir [1 ,2 ]
Iqbal, Aftab [2 ]
Hogan, Aidan [3 ]
Hasnain, Ali [2 ]
Khan, Yasar [2 ]
Decker, Stefan [2 ]
Sahay, Ratnesh [2 ]
机构：
[1] Tech Univ Kaiserslautern, Dept Comp Sci, Kaiserslautern, Germany
[2] Natl Univ Ireland, INSIGHT Ctr Data Analyt, Galway, Ireland
[3] Univ Chile, Dept Comp Sci, Santiago, Chile
来源：
PROCEEDINGS OF THE 18TH INTERNATIONAL DATABASE ENGINEERING AND APPLICATIONS SYMPOSIUM (IDEAS14) | 2014年
基金：
爱尔兰科学基金会;
关键词：
Linked Open Data (LOD) Cloud; Web of Data; SPARQL; Healthcare and Life Sciences;
D O I：
10.1145/2628194.2628220
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
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.
引用
收藏
页码：39 / 45
页数：7
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