Now showing items 1-6 of 6
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 Data Driven Information Systems as an Enabler for Integrating Financial Data
(IGI Global, 2012)
With increased dependence on efficient use and inclusion of diverse corporate and Web based data sources for business information analysis, financial information providers will increasingly need agile information integration ...
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 ...
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 ...
Architecture of Linked Data Applications
(CRC Press (Taylor & Francis), 2014)
In this chapter, we first perform an empirical survey of RDF-based applications over most of the past decade, from 2003 to 2009. As the Linked Data principles where introduced in 2006, this allows us to describe the current ...
GenomeSnip: Fragmenting the Genomic Wheel to augment discovery in cancer research
Cancer genomics researchers have greatly benefited from high-throughput technologies for the characterization of genomic alterations in patients. These voluminous genomics datasets when supplemented with the appropriate ...