Browsing Data Science Institute (Scholarly Articles) by Author "Mehmood, Qaiser"

Now showing items 1-3 of 3

    • 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; ...

    • SPORTAL: Profiling the Content of Public SPARQL Endpoints 

      Hasnain, Ali; Mehmood, Qaiser; Sana e Zainab, Syeda; Hogan, Aidan (IGI Global, 2016)
      Access to hundreds of knowledge bases has been made available on the Web through public SPARQL endpoints. Unfortunately, few endpoints publish descriptions of their content (e.g., using VoID). It is thus unclear how agents ...

    • Towards precision medicine: discovering novel gynecological cancer biomarkers and pathways using linked data 

      Jha, Alokkumar; Khan, Yasar; Mehdi, Muntazir; Karim, Md Rezaul; Mehmood, Qaiser; Zappa, Achille; Rebholz-Schuhmann, Dietrich; Sahay, Ratnesh (BioMed Central, 2017-09-19)
      Next Generation Sequencing (NGS) is playing a key role in therapeutic decision making for the cancer prognosis and treatment. The NGS technologies are producing a massive amount of sequencing datasets. Often, these datasets ...