• Analytical metadata modeling for next generation BI systems 

      Varga, Jovan; Romero Moral, Óscar; Bach Pedersen, Torben; Thomsen, Christian (2018-10)
      Article
      Accés obert
      Business Intelligence (BI) systems are extensively used as in-house solutions to support decision-making in organizations. Next generation BI 2.0 systems claim for expanding the use of BI solutions to external data sources ...
    • Dimensional enrichment of statistical linked open data 

      Varga, Jovan; Vaisman, Alejandro; Romero Moral, Óscar; Etcheverry, Lorena; Bach Pedersen, Torben; Thomsen, Christian (2016-10-01)
      Article
      Accés obert
      On-Line Analytical Processing (OLAP) is a data analysis technique typically used for local and well-prepared data. However, initiatives like Open Data and Open Government bring new and publicly available data on the web ...
    • QB2OLAP : enabling OLAP on statistical linked open data 

      Varga, Jovan; Etcheverry, Lorena; Vaisman, Alejandro; Romero Moral, Óscar; Bach Pedersen, Torben; Thomsen, Christian (2016)
      Text en actes de congrés
      Accés obert
      Publication and sharing of multidimensional (MD) data on the Semantic Web (SW) opens new opportunities for the use of On-Line Analytical Processing (OLAP). The RDF Data Cube (QB) vocabulary, the current standard for ...
    • SM4AM : a semantic metamodel for analytical metadata 

      Varga, Jovan; Romero Moral, Óscar; Pedersen, Torben; Thomsen, Christian (2014)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      Next generation BI systems emerge as platforms where traditional BI tools meet semi-structured and unstructured data coming from the Web. In these settings, the user-centric orientation represents a key characteristic for ...
    • SM4MQ: a semantic model for multidimensional queries 

      Varga, Jovan; Dobrokhotova, Ekaterina; Romero Moral, Óscar; Bach Pedersen, Torben; Thomsen, Christian (Springer, 2017)
      Text en actes de congrés
      Accés obert
      On-Line Analytical Processing (OLAP) is a data analysis approach to support decision-making. On top of that, Exploratory OLAP is a novel initiative for the convergence of OLAP and the Semantic Web (SW) that enables the use ...
    • Towards next generation BI systems : the analytical metadata challenge 

      Varga, Jovan; Romero Moral, Óscar; Pedersen, Torben; Thomsen, Christian (Springer, 2014)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      Next generation Business Intelligence (BI) systems require integration of heterogeneous data sources and a strong user-centric orientation. Both needs entail machine-processable metadata to enable automation and allow end ...