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S3QL: A distributed domain specific language for controlled semantic integration of life sciences data
Background The value and usefulness of data increases when it is explicitly interlinked with related data. This is the core principle of Linked Data. For life sciences researchers, harnessing the power of Linked Data ...
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 ...