Observatorio de I+D+i UPM

Memorias de investigación
Ponencias en congresos:
Describing Linked Data Platform Applications with the Hydra Core Vocabulary
Año:2015
Áreas de investigación
  • Ciencias de la computación y tecnología informática
Datos
Descripción
The Linked Data Platform (LDP) W3C Recommendation provides a standard protocol and a set of best practices for the develop- ment of read-write Linked Data applications based on HTTP access to Web resources that describe their state using the RDF data model. The Hydra Core Vocabulary is an initiative to de?ne a lightweight vocabulary to describe hypermedia-driven Web APIs. By specifying concepts com- monly used in Web APIs such as hypermedia controls with their explicit semantics, the Hydra Core Vocabulary enables creation of generic API clients. This paper discusses how LDP applications can bene?t from the Hydra Core Vocabulary to describe their APIs. Using Hydra, an LDP application can enable generic clients by describing the semantics of the expected and returned data. Having an API docu- mentation will be a more e?cient approach for most LDP applications than gathering information about a ordences and restrictions in each HTTP interaction. Nevertheless, there are potential con icts that have to be taken into consideration such as Hydra collections vs LDP containers or Hydra paging vs LDP paging.
Internacional
Si
Nombre congreso
3rd Workshop on Services and Applications over Linked APIs and Data Workshop 2015 (SALAD 2015)
Tipo de participación
960
Lugar del congreso
Portoro?, Slovenia
Revisores
Si
ISBN o ISSN
1613-0073
DOI
Fecha inicio congreso
01/06/2015
Fecha fin congreso
01/06/2015
Desde la página
33
Hasta la página
36
Título de las actas
Proceedings of the 3rd Workshop on Services and Applications over Linked APIs and Data Workshop 2015 (SALAD 2015) CEUR, Vol. 1359
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Nandana Sampath Mihindukulasooriya (UPM)
  • Autor: Raul Garcia Castro (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Ontology Engineering Group
  • Departamento: Inteligencia Artificial
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