• Revisiting Compact RDF Stores Based on k2-Trees 

      Brisaboa, Nieves R.; Cerdeira-Pena, Ana; Bernardo, Guillermo de; Fariña, Antonio (IEEE Xplore, 2020-03)
      [Abstract]: We present a new compact representation to efficiently store and query large RDF datasets in main memory. Our proposal, called BMatrix, is based on the k 2 -tree, a data structure devised to represent binary ...
    • Scalable processing and autocovariance computation of big functional data 

      Brisaboa, Nieves R.; Cao, Ricardo; Paramá, José R.; Silva-Coira, Fernando (John Wiley & Sons, 2018)
      [Abstract]: This paper presents 2 main contributions. The first is a compact representation of huge sets of functional data or trajectories of continuous-time stochastic processes, which allows keeping the data always ...
    • Space-Efficient Representations of Raster Time Series 

      Silva-Coira, Fernando; Paramá, José R.; Bernardo, Guillermo de; Seco, Diego (Elsevier, 2021)
      [Abstract] Raster time series, a.k.a. temporal rasters, are collections of rasters covering the same region at consecutive timestamps. These data have been used in many different applications ranging from weather forecast ...
    • Space/time-efficient RDF stores based on circular suffix sorting 

      Brisaboa, Nieves R.; Cerdeira-Pena, Ana; Bernardo, Guillermo de; Fariña, Antonio; Navarro, Gonzalo (Springer Nature, 2023-03)
      [Abstract]: The resource description framework (RDF) has gained popularity as a format for the standardized publication and exchange of information in the Web of Data. In this paper, we introduce RDFCSA, a compressed ...
    • Succinct Data Structures in the Realm of GIS 

      Brisaboa, Nieves R.; Gutiérrez-Asorey, Pablo; Rodríguez Luaces, Miguel; Varela Rodeiro, Tirso (MDPI, 2021)
      [Abstract] Geographic Information Systems (GIS) have spread all over our technological environment in the last decade. The inclusion of GPS technologies in everyday portable devices along with the creation of massive ...
    • Take one for the team: on the time efficiency of application-level buffer-aided relaying in edge cloud communication 

      Li, Zheng; Millar-Bilbao, Francisco; Rojas-Durán, Gonzalo; Ladra, Susana (Springer, 2021-03-12)
      [Abstract] Background Adding buffers to networks is part of the fundamental advance in data communication. Since edge cloud computing is based on the heterogeneous collaboration network model in a federated environment, ...
    • Tool for SPARQL Querying over Compact RDF Representations 

      Ramos-Vidal, Delfina; Bernardo, Guillermo de (MDPI, 2021)
      [Abstract] We present an architecture for the efficient storing and querying of large RDF datasets. Our approach seeks to store RDF datasets in very little space while offering complete SPARQL functionality. To achieve ...
    • Towards a Compact Representation of Temporal Rasters 

      Cerdeira-Pena, Ana; Bernardo, Guillermo de; Fariña, Antonio; Paramá, José R.; Silva-Coira, Fernando (Springer Nature, 2018-09)
      [Abstract]: Big research efforts have been devoted to efficiently manage spatio-temporal data. However, most works focused on vectorial data, and much less, on raster data. This work presents a new representation for raster ...
    • Towards a Non-Functional Requirements Discovery Approach for Persuasive Systems 

      Condori Fernández, Nelly; Araujo, Joao; Catalá, Alejandro; Lago, Patricia (Association for Computing Machinery, 2020-03-30)
      [Abstract] A number of software systems that attempt to help people achieve behavior change have been proposed in various domains such as health and wellness. However, sometimes, such systems have failed to provide a ...
    • Towards a Semi-Automated Data-Driven Requirements Prioritization Approach for Reducing Stakeholder Participation in SPL Development 

      Limaylla-Lunarejo, María-Isabel; Condori Fernández, Nelly; Rodríguez Luaces, Miguel (MDPI, 2021)
      [Abstract] Requirements prioritization (RP), part of Requirements engineering (RE), is an essential activity of Software Product-Lines (SPL) paradigm. Similar to standard systems, the identification and prioritization of ...
    • Universal indexes for highly repetitive document collections 

      Claude, Francisco; Fariña, Antonio; Martínez Prieto, Miguel A.; Navarro, Gonzalo (Elsevier Ltd, 2016-11)
      [Abstract] Indexing highly repetitive collections has become a relevant problem with the emergence of large repositories of versioned documents, among other applications. These collections may reach huge sizes, but are ...