Now showing items 1-4 of 4

  • Skjæveland, Martin G; Giese, Martin; Hovland, Dag; Lian, Espen Hallenstvedt; Waaler, Arild (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2015)
    The preparation of existing real-world datasets for publication as high-quality semantic web data is a complex task that requires the concerted execution of a variety of processing steps using a range of different tools. ...
  • 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 ...
  • Klungre, Vidar Norstein; Soylu, Ahmet; Giese, Martin; Waaler, Arild; Kharlamov, Evgeny (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2018)
    Knowledge Graphs have recently gained a lot of attention and have been successfully applied in both academia and industry. Since KGs may be very large: they may contain millions of entities and triples relating them to ...
  • Vega-Gorgojo, Guillermo; Giese, Martin; Heggestøyl, Simen; Soylu, Ahmet; Waaler, Arild (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2016)
    With the emergence of the Web of Data, there is a need of tools for searching and exploring the growing amount of semantic data. Unfortunately, such tools are scarce and typically require knowledge of SPARQL/RDF. We propose ...