Augmenting PROV with Plans in P-PLAN: Scientific Processes as Linked Data


Autoria(s): Garijo, Daniel; Gil, Yolanda
Data(s)

2012

Resumo

Provenance models are crucial for describing experimental results in science. The W3C Provenance Working Group has recently released the PROV family of specifications for provenance on the Web. While provenance focuses on what is executed, it is important in science to publish the general methods that describe scientific processes at a more abstract and general level. In this paper, we propose P-PLAN, an extension of PROV to represent plans that guid-ed the execution and their correspondence to provenance records that describe the execution itself. We motivate and discuss the use of P-PLAN and PROV to publish scientific workflows as Linked Data.

Formato

application/pdf

Identificador

http://oa.upm.es/19478/

Idioma(s)

eng

Publicador

Facultad de Informática (UPM)

Relação

http://oa.upm.es/19478/1/INVE_MEM_2012_13915.pdf

http://ceur-ws.org/Vol-951/

info:eu-repo/semantics/altIdentifier/doi/null

Direitos

http://creativecommons.org/licenses/by-nc-nd/3.0/es/

info:eu-repo/semantics/openAccess

Fonte

Proceedings of the 2nd International Workshop on Linked Science | 2nd International Workshop on Linked Science | 12/11/2012 - 12/11/2012 | Boston, USA

Palavras-Chave #Informática
Tipo

info:eu-repo/semantics/conferenceObject

Ponencia en Congreso o Jornada

PeerReviewed