Now showing items 1-5 of 5
Linked Biomedical Dataspace: Lessons Learned integrating Data for Drug Discovery
The increase in the volume and heterogeneity of biomedical data sources has motivated researchers to embrace Linked Data (LD) technologies to solve the ensuing integration challenges and enhance information discovery. As ...
A collaborative methodology for developing a semantic model for interlinking Cancer Chemoprevention linked-data sources
(IOS press, 2013)
This paper proposes a collaborative methodology for developing semantic data models. The proposed methodology for the semantic model development follows a meet-in-the-middle approach. On the ...
A Roadmap for navigating the Life Sciences Linked Open Data Cloud
Multiple datasets that add high value to biomedical research have been exposed on the web as a part of the Life Sciences Linked Open Data (LSLOD) Cloud. The ability to easily navigate through these datasets is crucial for ...
Querying over Federated SPARQL Endpoints - A State of the Art Survey
The increasing amount of Linked Data and its inherent distributed nature have attracted significant attention throughout the research community and amongst practitioners to search data, in the past years. Inspired by ...
LargeRDFBench: A billion triples benchmark for SPARQL endpoint federation
Gathering information from the distributed Web of Data is commonly carried out by using SPARQL query federation approaches. However, the fitness of current SPARQL query federation approaches for real applications is difficult ...