Now showing items 1-4 of 4

  • Jiménez-Ruiz, Ernesto; Kharlamov, Evgeny; Zheleznyakov, Dmitriy; Horrocks, Ian; Pinkel, Christoph; Skjæveland, Martin G; Thorstensen, Evgenij; Mora, Jose (Journal article / Tidsskriftartikkel / SubmittedVersion, 2015)
    Ontologies have recently became a popular mechanism to expose relational database (RDBs) due to their ability to describe the domain of data in terms of classes and properties that are clear to domain experts. Ontological ...
  • Harrow, Ian; Jiménez-Ruiz, Ernesto; Splendiani, Andrea; Romacker, Martin; Woollard, Peter; Markel, Scott; Alam-Faruque, Yasmin; Koch, Martin; Malone, James; Waaler, Arild (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2017)
    Background The disease and phenotype track was designed to evaluate the relative performance of ontology matching systems that generate mappings between source ontologies. Disease and phenotype ontologies ...
  • Kharlamov, Evgeny; Jiménez-Ruiz, Ernesto; Lanti, Davide; Lie, Hallstein; Hovland, Dag; Pinkel, Christoph; Skjæveland, Martin G; Thorstensen, Evgenij; Rezk, Martin (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2015)
    Ontology Based Data Access (OBDA) is a prominent approach to query databases which uses an ontology to expose data in a conceptually clear manner by abstracting away from the technical schema-level details of the underlying ...
  • Agibetov, Asan; Jiménez-Ruiz, Ernesto; Ondrésik, Marta; Solimando, Alessandro; Banerjee, Imon; Guerrini, Giovanna; Catalano, Chiara E.; Oliveira, Joaquim M.; Patanè, Giuseppe; Reis, Rui L.; Spagnuolo, Michela (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2018)
    Background Pathogenesis of inflammatory diseases can be tracked by studying the causality relationships among the factors contributing to its development. We could, for instance, hypothesize on the connections ...