Browsing Data Science Institute (Scholarly Articles) by Subject "RDF"

Now showing items 1-5 of 5

    • Big linked cancer data: Integrating linked TCGA and PubMed 

      Kamdar, Maulik R.; Iqbal, Aftab; Sampath, Shanmuka (Elsevier ScienceDirect, 2014-07-16)
      The amount of bio-medical data available on the Web grows exponentially with time. The resulting large volume of data makes manual exploration very tedious. Moreover, the velocity at which this data changes and the variety ...

    • Big linked cancer data: Integrating linked TCGA and PubMed 

      Saleem, M; Kamdar, M; Iqbal, A; Sampath, S; Deus, H; Ngomo, A (Elsevier, 2014-07-07)
      The amount of bio-medical data available on the Web grows exponentially with time. The resulting large volume of data makes manual exploration very tedious. Moreover, the velocity at which this data changes and the variety ...

    • LargeRDFBench: A billion triples benchmark for SPARQL endpoint federation 

      Saleem, Muhammad; Hasnain, Ali; Ngonga Ngomo, Axel-Cyrille (Elsevier, 2018-01-12)
      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 ...

    • S3QL: A distributed domain specific language for controlled semantic integration of life sciences data 

      Deus, Helena (2011)
      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 ...

    • TopFed: TCGA tailored federated query processing and linking to LOD 

      Padmanabhuni, Shanmukha S.; Iqbal, Aftab; Decker, Stefan (BioMed Central, 2014-12-03)
      Backgroud: The Cancer Genome Atlas (TCGA) is a multidisciplinary, multi-institutional effort to catalogue genetic mutations responsible for cancer using genome analysis techniques. One of the aims of this project is to ...