Provenance is information recording the source, derivation, or history of some information. Provenance tracking has been studied in a variety of settings, particularly database management systems; however, although many candidate definitions of provenance have been proposed, the mathematical or semantic foundations of data provenance have received comparatively little attention. In this article, we argue that dependency analysis techniques familiar from program analysis and program slicing provide a formal foundation for forms of provenance that are intended to show how (part of) the output of a query depends on (parts of) its input. We introduce a semantic characterization of such dependency provenance for a core database query language, s...
With the proliferation of database views and curated databases, the issue of data provenance - where...
Provenance, or information about the sources, derivation, custody or history of data, has been stud-...
Scientists can facilitate data intensive applications to study and understand the behavior of a comp...
Abstract. Provenance is information recording the source, derivation, or history of some information...
For the scale of data in process keep increasing, data provenance also becomes large and constantly ...
Provenance for database queries or scientific workflows is often motivated as providing explanation,...
Provenance information has been proved to be very effective in capturing the computational process p...
Provenance refers to information about the origin of a piece of data and the process that led to its...
Abstract. Information concerning the origin of data (that is, its provenance) is important in many a...
A data-dependent process (DDP) models an application whose control flow is guided by a finite state ...
Information concerning the origin of data (that is, its provenance) is important in many areas, espe...
Data provenance is information about where data come from (provenance data) and how they transform (...
Data provenance tools seek to facilitate reproducible data science and auditable data analyses by ca...
Provenance, or information about the sources, derivation, custody or history of data, has been stud-...
International audienceData provenance is extra information computed during query evaluation over dat...
With the proliferation of database views and curated databases, the issue of data provenance - where...
Provenance, or information about the sources, derivation, custody or history of data, has been stud-...
Scientists can facilitate data intensive applications to study and understand the behavior of a comp...
Abstract. Provenance is information recording the source, derivation, or history of some information...
For the scale of data in process keep increasing, data provenance also becomes large and constantly ...
Provenance for database queries or scientific workflows is often motivated as providing explanation,...
Provenance information has been proved to be very effective in capturing the computational process p...
Provenance refers to information about the origin of a piece of data and the process that led to its...
Abstract. Information concerning the origin of data (that is, its provenance) is important in many a...
A data-dependent process (DDP) models an application whose control flow is guided by a finite state ...
Information concerning the origin of data (that is, its provenance) is important in many areas, espe...
Data provenance is information about where data come from (provenance data) and how they transform (...
Data provenance tools seek to facilitate reproducible data science and auditable data analyses by ca...
Provenance, or information about the sources, derivation, custody or history of data, has been stud-...
International audienceData provenance is extra information computed during query evaluation over dat...
With the proliferation of database views and curated databases, the issue of data provenance - where...
Provenance, or information about the sources, derivation, custody or history of data, has been stud-...
Scientists can facilitate data intensive applications to study and understand the behavior of a comp...