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

Garijo, Daniel and Gil, Yolanda (2012). Augmenting PROV with Plans in P-PLAN: Scientific Processes as Linked Data. In: "2nd International Workshop on Linked Science", 12/11/2012 - 12/11/2012, Boston, USA. ISBN 1613-0073. pp..

Description

Title: Augmenting PROV with Plans in P-PLAN: Scientific Processes as Linked Data
Author/s:
  • Garijo, Daniel
  • Gil, Yolanda
Item Type: Presentation at Congress or Conference (Article)
Event Title: 2nd International Workshop on Linked Science
Event Dates: 12/11/2012 - 12/11/2012
Event Location: Boston, USA
Title of Book: Proceedings of the 2nd International Workshop on Linked Science
Date: 2012
ISBN: 1613-0073
Volume: 951
Subjects:
Freetext Keywords: provenance, plan, PROV, scientific workflows, Linked Data, procedencia, Flujo de trabajo científico, datos vinculados.
Faculty: Facultad de Informática (UPM)
Department: Inteligencia Artificial
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

More information

Item ID: 19478
DC Identifier: http://oa.upm.es/19478/
OAI Identifier: oai:oa.upm.es:19478
Official URL: http://ceur-ws.org/Vol-951/
Deposited by: Memoria Investigacion
Deposited on: 02 Oct 2013 17:28
Last Modified: 21 Apr 2016 19:20
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