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Provenance and Annotation of Data and Processes

Belhajjame, Khalid; Gehani, Ashish; Alper, Pinar (2018), Provenance and Annotation of Data and Processes, Springer : Berlin Heidelberg. 10.1007/978-3-319-98379-0

Type
Ouvrage
Date
2018
Publisher
Springer
Series title
Lecture Notes in Computer Science
Series number
11017
Published in
Berlin Heidelberg
ISBN
978-3-319-98378-3
Publication identifier
Metadata
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Author(s)
Belhajjame, Khalid
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Gehani, Ashish cc
SRI International [Menlo Park] [SRI]
Alper, Pinar cc
Abstract (EN)
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.
Subjects / Keywords
Artificial intelligence; Big data; Cloud computing; Computer systems; Data privacy; Data security; Databases; Debugging; Internet; Map-reduce; Metadata; Ontologies; Program debugging : Programming languages; Semantic websemanticssoftware engineeringuser interfacesworld wide web