Recent Submissions

  • Graph-driven federated data management 

    Nadal Francesch, Sergi; Abelló Gamazo, Alberto; Romero Moral, Óscar; Vansummeren, Stijn; Vassiliadis, Panos (2021-05-03)
    Article
    Open Access
    Modern data analysis applications, require the ability to provide on-demand integration of data sources while offering a flexible and user-friendly query interface. Traditional techniques for answering queries using views, ...
  • A framework for assessing the peer review duration of journals: case study in computer science 

    Bilalli, Besim; Munir, Rana Faisal; Abelló Gamazo, Alberto (Springer Nature, 2021-01)
    Article
    Restricted access - publisher's policy
    In various fields, scientific article publication is a measure of productivity and in many occasions it is used as a critical factor for evaluating researchers. Therefore, a lot of time is dedicated to writing articles ...
  • Configuring parallelism for hybrid layouts using multi-objective optimization 

    Munir, Rana Faisal; Abelló Gamazo, Alberto; Romero Moral, Óscar; Thiele, Maik; Lehner, Wolfgang (2020-06-01)
    Article
    Open Access
    Modern organizations typically store their data in a raw format in data lakes. These data are then processed and usually stored under hybrid layouts, because they allow projection and selection operations. Thus, they allow ...
  • Quarry: A user-centered big data integration platform 

    Jovanovic, Petar; Nadal Francesch, Sergi; Romero Moral, Óscar; Abelló Gamazo, Alberto; Bilalli, Besim (2021-02)
    Article
    Open Access
    Obtaining valuable insights and actionable knowledge from data requires cross-analysis of domain data typically coming from various sources. Doing so, inevitably imposes burdensome processes of unifying different data ...
  • TopoGraph: an end-to-end framework to build and analyze graph cubes 

    Ghrab, Amine; Romero Moral, Óscar; Skhiri, Sabri; Zimányi, Esteban (2021-02)
    Article
    Open Access
    Graphs are a fundamental structure that provides an intuitive abstraction for modeling and analyzing complex and highly interconnected data. Given the potential complexity of such data, some approaches proposed extending ...
  • Keeping the data lake in form: proximity mining for pre-filtering schema matching 

    Al-serafi, Ayman Mounir Mohamed; Abelló Gamazo, Alberto; Romero Moral, Óscar; Calders, Toon (2020-05)
    Article
    Open Access
    Data Lakes (DLs) are large repositories of raw datasets from disparate sources. As more datasets are ingested into a DL, there is an increasing need for efficient techniques to profile them and to detect the relationships ...