@thesis{castro_publicacao_2015,
	title = {Publicação de Proveniência de Workflows na Web Semântica},
	url = {https://renan-souza.github.io/files/RachelBscThesis.pdf},
	abstract = {Due to the increasing use of scientific workflows to perform simulations that require high computational performance, storing provenance is essential to ensure greater reliability and reproducibility of the experiment executed using a workflow. Although provenance data exist around the world, they are usually not published in a structured or standardized form, which makes scientific data interoperability among different knowledge fields more difficult. Despite being relatively not so popular, the Semantic Web has a notorious potential and is an alternative to enable data publication on the web in a structured, standardized and open way. This project proposes an ontology for a Scientific Workflow Management System ({SWfMS}) and a system that enables the provenance data generated by the {SWfMS} to be selected and published on the Semantic Web.},
	pagetotal = {67},
	institution = {Universidade Federal do Rio de Janeiro},
	type = {Bachelor Thesis},
	author = {Castro, Rachel and Souza, Renan and Mattoso, Marta},
	urldate = {2016-10-17},
	date = {2015},
	file = {[PDF] from ufrj.br:/Users/rfsouza/Library/Application Support/Zotero/Profiles/33j3px8o.default/zotero/storage/FC63RE7K/de Castro - 2015 - PUBLICAÇÃO DE PROVENIÊNCIA DE WORKFLOWS NA WEB SEM.pdf:application/pdf}
}

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