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PROV-DM: The PROV Data Model

PROV-DM: The PROV Data Model
PROV-DM: The PROV Data Model
Provenance is information about entities, activities, and people involved in producing a piece of data or thing, which can be used to form assessments about its quality, reliability or trustworthiness. PROV-DM is the conceptual data model that forms a basis for the W3C provenance (PROV) family of specifications. PROV-DM distinguishes core structures, forming the essence of provenance information, from extended structures catering for more specific uses of provenance. PROV-DM is organized in six components, respectively dealing with: (1) entities and activities, and the time at which they were created, used, or ended; (2) derivations of entities from entities; (3) agents bearing responsibility for entities that were generated and activities that happened; (4) a notion of bundle, a mechanism to support provenance of provenance; (5) properties to link entities that refer to the same thing; and, (6) collections forming a logical structure for its members. This document introduces the provenance concepts found in PROV and defines PROV-DM types and relations. The PROV data model is domain-agnostic, but is equipped with extensibility points allowing domain-specific information to be included. Two further documents complete the specification of PROV-DM. First, a companion document specifies the set of constraints that provenance should follow. Second, a separate document describes a provenance notation for expressing instances of provenance for human consumption; this notation is used in examples in this document.
World Wide Web Consortium
Belhajjame, Khalid
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B'Far, Reza
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Cheney, James
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Coppens, Sam
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Cresswell, Stephen
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Gil, Yolanda
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Groth, Paul
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Klyne, Graham
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Lebo, Timothy
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McCusker, Jim
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Miles, Simon
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Myers, James
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Sahoo, Satya
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Tilmes, Curt
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Moreau, Luc
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Missier, Paolo
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Moreau, Luc
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Missier, Paolo
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Belhajjame, Khalid
56a9a60a-137a-48d5-b439-76ab1218ee27
B'Far, Reza
296eb7ba-2c4b-4843-86b1-1312d290a165
Cheney, James
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Coppens, Sam
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Cresswell, Stephen
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Gil, Yolanda
db85654f-6250-4666-8c77-64c4afea8d85
Groth, Paul
427b9eca-c4dd-45c1-be04-3c91bb327345
Klyne, Graham
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Lebo, Timothy
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McCusker, Jim
78a61e35-21f8-4429-9a04-c20a79d3ae99
Miles, Simon
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Myers, James
b541d1fd-a24a-4771-91b3-84e1ac8c7fe5
Sahoo, Satya
576e14c2-d868-4c37-b886-043405f9cc72
Tilmes, Curt
d33b4a36-650f-42fa-8afa-35caa6205583

Belhajjame, Khalid, B'Far, Reza, Cheney, James, Coppens, Sam, Cresswell, Stephen, Gil, Yolanda, Groth, Paul, Klyne, Graham, Lebo, Timothy, McCusker, Jim, Miles, Simon, Myers, James, Sahoo, Satya and Tilmes, Curt , Moreau, Luc and Missier, Paolo (eds.) (2013) PROV-DM: The PROV Data Model World Wide Web Consortium

Record type: Monograph (Project Report)

Abstract

Provenance is information about entities, activities, and people involved in producing a piece of data or thing, which can be used to form assessments about its quality, reliability or trustworthiness. PROV-DM is the conceptual data model that forms a basis for the W3C provenance (PROV) family of specifications. PROV-DM distinguishes core structures, forming the essence of provenance information, from extended structures catering for more specific uses of provenance. PROV-DM is organized in six components, respectively dealing with: (1) entities and activities, and the time at which they were created, used, or ended; (2) derivations of entities from entities; (3) agents bearing responsibility for entities that were generated and activities that happened; (4) a notion of bundle, a mechanism to support provenance of provenance; (5) properties to link entities that refer to the same thing; and, (6) collections forming a logical structure for its members. This document introduces the provenance concepts found in PROV and defines PROV-DM types and relations. The PROV data model is domain-agnostic, but is equipped with extensibility points allowing domain-specific information to be included. Two further documents complete the specification of PROV-DM. First, a companion document specifies the set of constraints that provenance should follow. Second, a separate document describes a provenance notation for expressing instances of provenance for human consumption; this notation is used in examples in this document.

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More information

Published date: April 2013
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 356851
URI: http://eprints.soton.ac.uk/id/eprint/356851
PURE UUID: 3803b636-e081-4d57-b4b3-eff269a5234c

Catalogue record

Date deposited: 13 Sep 2013 21:01
Last modified: 08 Jul 2020 16:35

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Contributors

Editor: Luc Moreau
Editor: Paolo Missier
Author: Khalid Belhajjame
Author: Reza B'Far
Author: James Cheney
Author: Sam Coppens
Author: Stephen Cresswell
Author: Yolanda Gil
Author: Paul Groth
Author: Graham Klyne
Author: Timothy Lebo
Author: Jim McCusker
Author: Simon Miles
Author: James Myers
Author: Satya Sahoo
Author: Curt Tilmes

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