Browsing Data Science Institute by Author "Saleem, Muhammad"

Now showing items 1-4 of 4

    • An evaluation of SPARQL federation engines over multiple endpoints 

      Saleem, Muhammad; Khan, Yasar; Hasnain, Ali; Ermilov, Ivan; Ngonga Ngomo, Axel-Cyrille (NUI Galway, 2018-04-23)
      Due to decentralized and linked architecture underlying Linking Data, running complex queries often require collecting data from multiple RDF datasets. The optimization of the runtime of such queries, called federated ...

    • Extending largeRDFBench for multi-source data at scale for SPARQL endpoint federation 

      Hasnain, Ali; Saleem, Muhammad; Ngomo, Axel-Cyrille Ngonga; Rebholz-Schuhmann, Dietrich (IOS Press, 2018)
      Querying the Web of Data is highly motivated by the use of federation approaches mainly SPARQL query federation when the data is available through endpoints. Different benchmarks have been proposed to exploit the full ...

    • 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 ...

    • SAFE: SPARQL federation over RDF data cubes with access control 

      Khan, Yasar; Saleem, Muhammad; Mehdi, Muntazir; Hogan, Aidan; Mehmood, Qaiser; Rebholz-Schuhmann, Dietrich; Sahay, Ratnesh (BioMed Central, 2017-02-01)
      Several query federation engines have been proposed for accessing public Linked Open Data sources. However, in many domains, resources are sensitive and access to these resources is tightly controlled by stakeholders; ...