Durre Zehra

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BACKGROUND Biomedical data, e.g. from knowledge bases and ontologies, is increasingly made available following open linked data principles, at best as RDF triple data. This is a necessary step towards unified access to biological data sets, but this still requires solutions to query multiple endpoints for their heterogeneous data to eventually retrieve all(More)
Health care and life sciences research heavily relies on the ability to search, discover, formulate and correlate data from distinct sources. Over the last decade the deluge of health care life science data and the standardisation of linked data technologies resulted in publishing datasets of great importance. This emerged as an opportunity to explore new(More)
The life sciences domain has been one of the early adopters of Open Data Initiative and a considerable portion of the Linked Open Data cloud is comprised of datasets from Life Sciences Linked Open Data (LSLOD). This deluge of biomedical data and active research over the past decade resulted in the flux of scientific publications in this domain. PubMed(More)
Health care and life sciences research heavily relies on the ability to search, discover, formulate and correlate data from distinct sources. Although the Semantic Web and Linked Data technologies help in dealing with data integration problem, there remains a barrier adopting these for non-technical research audiences. In this paper we present FedViz, a(More)
A single interface for accessing life sciences (LS) data is a natural need to master the data deluge in this domain. The data in the LS requires integration and current integrative solutions increasingly rely on the federation of queries for distributed resources. This paper demonstrates BioFed, a federated SPARQL query processing system customised for(More)
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