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A Brief Tour Through Provenance in Scientific Workflows and Databases

verfasst von : Bertram Ludäscher

Erschienen in: Building Trust in Information

Verlag: Springer International Publishing

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Abstract

Within computer science, the term provenance 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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Vorheriges Kapitel Conceptual Provenance in Indexing Languages

Nächstes Kapitel The Lifecycle of Provenance Metadata and Its Associated Challenges and Opportunities

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The Federation of Earth Science Information Partners.

For example, [26] states that “provenance is defined as a record that describes the people, institutions, entities, and activities involved in producing, influencing, or delivering a piece of data or a thing.”

Here, we are not searching for a graph homomorphism, but simply test whether the given mapping h : T → W is a homomorphism.

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Also known as regular numbers.

However, workflow systems such as Kepler [19] support nested workflows, so it is possible to open these “grey boxes” [14, 50, 51]. Similarly, fine-grained provenance from script-based workflows can be captured via profiling tools [52].

For example, [56, 57] show how XML queries can be reduced to relational queries.

In abstract algebra, a semiring is a structure (K, +, ⋅ , 0, 1) with binary operations “+” (addition) and “⋅ ” (multiplication) over an underlying set K satisfying, for all x, y, z ∈ K, these axioms: \(x + y = y + x\); \(x + 0 = 0 + x = x\); \(x \cdot 1 = 1 \cdot x = x\); \(x \cdot 0 = 0 \cdot x = 0\); \(x \cdot (y + z) = x \cdot y + x \cdot z\); \((x + y) \cdot z = x \cdot z + y \cdot z\). If x ⋅ y = y ⋅ x, the semiring is commutative. Instead of x ⋅ y we can write xy.

Query evaluation games [80] have been considered before, e.g., by Hintikka [81]. However, the idea of using games for provenance was inspired more recently by revisiting the game normal form [82] for well-founded Datalog.

The example code is available from github.com/idaks/tour-de-provenance.

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Titel: A Brief Tour Through Provenance in Scientific Workflows and Databases
verfasst von: Bertram Ludäscher
Verlag: Springer International Publishing
Buch: Building Trust in Information
Print ISBN: 978-3-319-40225-3

Electronic ISBN: 978-3-319-40226-0

Copyright-Jahr: 2016
DOI: https://doi.org/10.1007/978-3-319-40226-0_7

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