Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Loupe - An RDF Dataset Description Model for Expressing Vocabulary Usage Patterns
Year:2016
Research Areas
  • Information technology and adata processing
Information
Abstract
This position paper discusses the need for extending dataset descriptions, such as DCAT, in the case of RDF data to include compre- hensive vocabulary usage and triple pattern information (for instance, as a DCAT pro?le for vocabulary usage and triple patterns in RDF data). As the basis of the discussion, the paper presents four use cases whose requirements can not be easily ful?lled by the current RDF dataset de- scriptions. To this end, we propose an extended RDF dataset description vocabulary, the Loupe model, which aims to capture an extensive set of vocabulary usage statistics and triple pattern information to satisfy such use cases.
International
Si
Congress
Smart Descriptions & Smarter Vocabularies (SDSVoc) Workshop
960
Place
Amsterdam
Reviewers
Si
ISBN/ISSN
CDP08UPM
Start Date
30/11/2016
End Date
01/12/2016
From page
1
To page
4
Smart Descriptions & Smarter Vocabularies (SDSVoc) Report
Participants
  • Autor: Nandana Sampath Mihindukulasooriya (UPM)
  • Autor: Maria Poveda Villalon (UPM)
  • Autor: Raul Garcia Castro (UPM)
  • Autor: Asuncion de Maria Gomez Perez (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Ontology Engineering Group
  • Departamento: Inteligencia Artificial
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