Titlebook: Building Trust in Information; Perspectives on the Victoria L. Lemieux Conference proceedings 2016 Springer International Publishing Switz

Abduct

https://doi.org/10.1007/978-3-319-40226-0Data Provenance; Financial Data; Trustworthy Computing; Analytic Provenance; Digital Preservation

Intercept

978-3-319-82058-3Springer International Publishing Switzerland 2016

Muffle

千篇一律

Building Trust in Information978-3-319-40226-0Series ISSN 2198-7246 Series E-ISSN 2198-7254

chance

https://doi.org/10.1007/978-0-387-21750-5ous work. Observations from looking at large classification schemes, like ontogeny, semantic gravity, and collocative integrity, are introduced. The chapter closes with a discussion of key challenges in the methodology and outlines future research.

BIAS

Springer Proceedings in Business and Economicshttp://image.papertrans.cn/b/image/191788.jpg

終端

Brittle

Reconstruction of GPTs from MSR MeasurementsThis chapter outlines some of the challenges and opportunities associated with adopting provenance principles (Cheney et al., Dagstuhl Reports 2(2):84–113, 2012) and standards (Moreau et al., Web Semant. Sci. Serv. Agents World Wide Web, 2015) in a variety of disciplines, including data publication and reuse, and information sciences.

尖

A Brief Tour Through Provenance in Scientific Workflows and DatabasesWithin computer science, the term . has multiple meanings, due to different motivations, perspectives, and assumptions prevalent in the respective communities. This chapter provides a high-level “sightseeing tour” of some of those different notions and uses of provenance in scientific workflows and databases.

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