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Registro Completo |
Biblioteca(s): |
Embrapa Agricultura Digital. |
Data corrente: |
08/02/2010 |
Data da última atualização: |
15/01/2020 |
Tipo da produção científica: |
Artigo em Anais de Congresso / Nota Técnica |
Autoria: |
OLIVEIRA, D.; CUNHA, L.; TOMAZ, L.; PEREIRA, V.; MATTOSO, M. |
Afiliação: |
DANIEL DE OLIVEIRA, UFRJ; LUIZ MANOEL SILVA CUNHA, CNPTIA; LUIZ TOMAZ, UFRJ; VINICIUS PEREIRA, UFRJ; MARTA MATTOSO, UFRJ. |
Título: |
Using ontologies to support deep water oil exploration scientific workflows. |
Ano de publicação: |
2009 |
Fonte/Imprenta: |
In: IEEE COMPUTER CONGRESS SERVICES, 2009, San Diego. Proceedings... Washington, DC: IEEE Computer Society, 2009. |
Páginas: |
p. 364-367. |
DOI: |
10.1109/SERVICES-I.2009.17 |
Idioma: |
Português |
Conteúdo: |
Scientific experiments generate a large amount of data to be processed and analyzed. As the amount of data increases, the way engineers define their own experiments, analyze the output and share them is becoming complex to manage. Scientific Workflow Management Systems (WfMS) are being used to orchestrate a sequence of programs, services and resources, defined by scientific workflows. However, current WfMS are focused on the workflow execution and present limitations on the semantic support to design the experiment. These tools lack on semantic descriptions of available resources to design scientific workflow. This paper presents an ontology for deep water oil exploration workflow. This ontology has been used to present some semantic concepts to help defining a workflow to be further executed by a WfMS. We evaluate this semantic support on a real workflow that calculates fatigue on risers in deep water oil platforms. The results reinforce the benefits of semantic support over program chaining in manual workflow design. |
Palavras-Chave: |
Ontologia; Ontologies; Scientific workflows; Semântica; Semantics. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
Marc: |
LEADER 01774nam a2200241 a 4500 001 1657083 005 2020-01-15 008 2009 bl uuuu u00u1 u #d 024 7 $a10.1109/SERVICES-I.2009.17$2DOI 100 1 $aOLIVEIRA, D. 245 $aUsing ontologies to support deep water oil exploration scientific workflows.$h[electronic resource] 260 $aIn: IEEE COMPUTER CONGRESS SERVICES, 2009, San Diego. Proceedings... Washington, DC: IEEE Computer Society$c2009 300 $ap. 364-367. 520 $aScientific experiments generate a large amount of data to be processed and analyzed. As the amount of data increases, the way engineers define their own experiments, analyze the output and share them is becoming complex to manage. Scientific Workflow Management Systems (WfMS) are being used to orchestrate a sequence of programs, services and resources, defined by scientific workflows. However, current WfMS are focused on the workflow execution and present limitations on the semantic support to design the experiment. These tools lack on semantic descriptions of available resources to design scientific workflow. This paper presents an ontology for deep water oil exploration workflow. This ontology has been used to present some semantic concepts to help defining a workflow to be further executed by a WfMS. We evaluate this semantic support on a real workflow that calculates fatigue on risers in deep water oil platforms. The results reinforce the benefits of semantic support over program chaining in manual workflow design. 653 $aOntologia 653 $aOntologies 653 $aScientific workflows 653 $aSemântica 653 $aSemantics 700 1 $aCUNHA, L. 700 1 $aTOMAZ, L. 700 1 $aPEREIRA, V. 700 1 $aMATTOSO, M.
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