Now showing items 1-4 of 4

    • A framework for building OLAP cubes on graphs 

      Ghrab, Amine; Romero Moral, Óscar; Skhiri, Sabri; Vaisman, Alejandro; Zimányi, Esteban (Springer, 2015)
      Conference report
      Open Access
      Graphs are widespread structures providing a powerful abstraction for modeling networked data. Large and complex graphs have emerged in various domains such as social networks, bioinformatics, and chemical data. However, ...
    • Managing polyglot systems metadata with hypergraphs 

      Hewasinghage, Moditha Lakshan Dharmasir; Varga, Jovan; Abelló Gamazo, Alberto; Zimányi, Esteban (2018)
      Conference report
      Open Access
      A single type of data store can hardly fulfill every end-user requirements in the NoSQL world. Therefore, polyglot systems use different types of NoSQL datastores in combination. However, the heterogeneity of the data ...
    • Multidimensional integration of RDF datasets 

      Behan, Jam Jahanzeb Khan; Romero Moral, Óscar; Zimányi, Esteban (Springer, 2019)
      Conference lecture
      Open Access
      Data providers have been uploading RDF datasets on the web to aid researchers and analysts in finding insights. These datasets, made available by different data providers, contain common characteristics that enable their ...
    • TopoGraph: an end-to-end framework to build and analyze graph cubes 

      Ghrab, Amine; Romero Moral, Óscar; Skhiri, Sabri; Zimányi, Esteban (2020-03-20)
      Restricted access - publisher's policy
      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 ...