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.
Contributor(s): Belhajjame, Khalid [editor.]
| Gehani, Ashish [editor.] | Alper, Pinar [editor.] | SpringerLink (Online service).
Material type: 
BookSeries: Information Systems and Applications, incl. Internet/Web, and HCI: 11017Publisher: Cham : Springer International Publishing : Imprint: Springer, 2018Edition: 1st ed. 2018.Description: X, 272 p. 91 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319983790.Subject(s): Artificial intelligence | Software engineering | Compilers (Computer programs) | Application software | Database management | Data protection | Artificial Intelligence | Software Engineering | Compilers and Interpreters | Computer and Information Systems Applications | Database Management | Data and Information SecurityAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
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Springer Nature eBookSummary: 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.
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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