Now showing items 1-5 of 5

  • Computer-language based data prefetching techniques 

    Touma, Rizkallah (Universitat Politècnica de Catalunya, 2019-01-25)
    Doctoral thesis
    Open Access
    Data prefetching has long been used as a technique to improve access times to persistent data. It is based on retrieving data records from persistent storage to main memory before the records are needed. Data prefetching ...
  • Machine Learning-based Query Augmentation for SPARQL Endpoints 

    Rico, Mariano; Touma, Rizkallah; Queralt Calafat, Anna; Pérez, María S. (2018)
    Conference lecture
    Open Access
    Linked Data repositories have become a popular source of publicly-available data. Users accessing this data through SPARQL endpoints usually launch several restrictive yet similar consecutive queries, either to find the ...
  • Predicting access to persistent objects through static code analysis 

    Touma, Rizkallah; Queralt Calafat, Anna; Cortés, Toni; Pérez Hernandez, María S. (Springer, 2017)
    Conference report
    Open Access
    In this paper, we present a fully-automatic, high-accuracy approach to predict access to persistent objects through static code analysis of object-oriented applications. The most widely-used previous technique uses a simple ...
  • Semi-Automatic Ontology Matching and Enrichment 

    Touma, Rizkallah (Universitat Politècnica de Catalunya, 2015-09)
    Master thesis
    Open Access
  • Supporting data integration tasks with semi-automatic ontology construction 

    Touma, Rizkallah; Romero Moral, Óscar; Jovanovic, Petar (Association for Computing Machinery (ACM), 2015)
    Conference report
    Restricted access - publisher's policy
    Data integration aims to facilitate the exploitation of heterogeneous data by providing the user with a unified view of data residing in different sources. Currently, ontologies are commonly used to represent this unified ...