Now showing items 1-6 of 6

    • Aggregation languages for moving object and places of interest 

      Gómez, Leticia Irene; Kuijpers, Bart; Vaisman, Alejandro Ariel (2008)
      "We address aggregate queries over GIS data and moving object data, where non-spatial information is stored in a data warehouse. We propose a formal data model and query language to express complex aggregate queries. Next, ...
    • Analytical queries on semantic trajectories using graph databases 

      Gómez, Leticia Irene; Kuijpers, Bart; Vaisman, Alejandro Ariel (2019-10)
      "This article studies the analysis of moving object data collected by location-aware devices, such as GPS, using graph databases. Such raw trajectories can be transformed into so-called semantic trajectories, which are ...
    • Categorical sequential pattern mining in a spatio-temporal environment 

      Gómez, Leticia Irene (c2009)
      "En esta tesis argumentamos que la información de trayectorias también puede ser integrada con datos GIS y OLAP, generando un marco poderoso de análisis".
    • Mapping spatiotemporal data to RDF: A SPARQL endpoint for Brussels 

      Vaisman, Alejandro Ariel; Chentout, Kevin (2019)
      "This paper describes how a platform for publishing and querying linked open data for the Brussels Capital region in Belgium is built. Data are provided as relational tables or XML documents and are mapped into the RDF ...
    • Piet: a GIS-OLAP implementation 

      Vaisman, Alejandro Ariel; Gómez, Leticia Irene; Kuijpers, Bart; Escribano, Ariel (2007)
      "Data aggregation in Geographic Information Systems (GIS) is a desirable feature, although only marginally present in commercial systems, which also fail to provide integration between GIS and OLAP (On Line Analytical ...
    • Temporal SOLAP: query language, implementation, and a use case 

      Bisceglia, Pablo; Gómez, Leticia Irene; Vaisman, Alejandro Ariel (2012)
      "The integration of Geographic Information Systems (GIS) and On-Line Analytical Processing (OLAP), denoted SOLAP, is aimed at exploring and analyzing spatial data. In real-world SOLAP applications, spatial and non-spatial ...