Provenance and Annotation of Data and Processes [electronic resource] : 7th International Provenance and Annotation Workshop, IPAW 2018, London, UK, July 9-10, 2018, Proceedings / edited by Khalid Belhajjame, Ashish Gehani, Pinar Alper.

Colaborador(es): Belhajjame, Khalid [editor.] | Gehani, Ashish [editor.] | Alper, Pinar [editor.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Information Systems and Applications, incl. Internet/Web, and HCI ; 11017Editor: Cham : Springer International Publishing : Imprint: Springer, 2018Edición: 1st ed. 2018Descripción: X, 272 p. 91 illus. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783319983790Tema(s): Artificial intelligence | Software engineering | Programming languages (Electronic computers) | Application software | Database management | Computer security | Artificial Intelligence | Software Engineering | Programming Languages, Compilers, Interpreters | Information Systems Applications (incl. Internet) | Database Management | Systems and Data SecurityFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 006.3 Clasificación LoC:Q334-342Recursos en línea: Libro electrónicoTexto En: Springer Nature eBookResumen: This book constitutes the refereed proceedings of the 7th International Provenance and Annotation Workshop, IPAW 2018, held in London, UK, in July 2018. The 12 revised full papers, 19 poster papers, and 2 demonstration papers presented were carefully reviewed and selected from 50 submissions. The papers feature a variety of provenance-related topics ranging from the capture and inference of provenance to its use and application.They are organized in topical sections on reproducibility; modeling, simulating and capturing provenance; PROV extensions; scientific workflows; applications; and system demonstrations.
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This book constitutes the refereed proceedings of the 7th International Provenance and Annotation Workshop, IPAW 2018, held in London, UK, in July 2018. The 12 revised full papers, 19 poster papers, and 2 demonstration papers presented were carefully reviewed and selected from 50 submissions. The papers feature a variety of provenance-related topics ranging from the capture and inference of provenance to its use and application.They are organized in topical sections on reproducibility; modeling, simulating and capturing provenance; PROV extensions; scientific workflows; applications; and system demonstrations.

UABC ; Temporal ; 01/01/2021-12/31/2023.

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