Memorias de investigación
Ponencias en congresos:
SMART Protocols: SeMAntic RepresenTation for Experimental Protocols
Año:2014

Áreas de investigación
  • Ciencias de la computación y tecnología informática

Datos
Descripción
Two important characteristics of science are the ?reproducibility? and ?clarity?. By rigorous practices, scientists explore aspects of the world that they can reproduce under carefully controlled experimental conditions. The clarity, complementing reproducibility, provides unambiguous descriptions of results in a mechanical or mathematical form. Both pillars depend on well-structured and accurate descriptions of scientific practices, which are normally recorded in experimental protocols, scientific workflows, etc. Here we present SMART Protocols (SP), our ontology-based approach for representing experimental protocols and our contribution to clarity and reproducibility. SP delivers an unambiguous description of processes by means of which data is produced; by doing so, we argue, it facilitates reproducibility. Moreover, SP is thought to be part of e-science infrastructures. SP results from the analysis of 175 protocols; from this dataset, we extracted common elements. From our analysis, we identified document, workflow and domain-specific aspects in the representation of experimental protocols. The ontology is available at http://purl.org/net/SMARTprotocol
Internacional
Si
Nombre congreso
4th Workshop on Linked Science 2014? Making Sense Out of Data (LISC2014)
Tipo de participación
960
Lugar del congreso
Riva del Garda, Trentino, Italia
Revisores
Si
ISBN o ISSN
1613-0073
DOI
Fecha inicio congreso
19/10/2014
Fecha fin congreso
19/10/2014
Desde la página
36
Hasta la página
47
Título de las actas
CEUR Workshop Proceedings, Vol 1282- Proceedings of the 4th Workshop on Linked Science 2014 - Making Sense Out of Data (LISC2014) co-located with the 13th International Semantic Web Conference (ISWC 2014)

Esta actividad pertenece a memorias de investigación

Participantes

Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Ontology Engineering Group
  • Departamento: Inteligencia Artificial