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. The PROV Family of Documents defines a model, corresponding serializations and other supporting defintions to enable the inter-operable interchange of provenance information in heterogeneous environments such as the Web. This document provides an overview this family of documents.
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This document was published by the Provenance Working Group as a Working Draft. If you wish to make comments regarding this document, please send them to [email protected] (subscribe, archives). All comments are welcome.
Publication as a Working Draft does not imply endorsement by the W3C Membership. This is a draft document and may be updated, replaced or obsoleted by other documents at any time. It is inappropriate to cite this document as other than work in progress.
This document was produced by a group operating under the 5 February 2004 W3C Patent Policy. The group does not expect this document to become a W3C Recommendation. W3C maintains a public list of any patent disclosures made in connection with the deliverables of the group; that page also includes instructions for disclosing a patent. An individual who has actual knowledge of a patent which the individual believes contains Essential Claim(s) must disclose the information in accordance with section 6 of the W3C Patent Policy.
Below is the organization of PROV. At its core is a conceptual data model, which defines a common vocabulary used to describe provenance. This is instantiated by various serializations. These serializations are what are used by implementations to interchange provenance. To help developers and users create valid provenance, a set of constraints are defined, which can be used to create provenance validators. Finally, to further support the interchange of provenance, additional definitions are provided for protocols to locate and access provenance, connect sets of provenance descriptions and define how to interoperate with the widely used Dublin Core vocabulary.
|1||Users||Note||PROV-PRIMER is the entry point to PROV offering an introduction to the provenance model. This is where you should start and for many may be the only document needed.|
|2||Developers||Rec||PROV-O defines a light-weight OWL2 ontology for the provenance model. This is intended for the Linked Data and Semantic Web community.|
|3||Developers||Note||PROV-XML defines an XML schema for the provenance model. This is intended for developers who need a native XML serialization of PROV|
|4||Advanced||Rec||PROV-DM defines a conceptual data model for provenance including UML diagrams. PROV-O and PROV-XML are serializations of this conceptual model.|
|5||Advanced||Rec||PROV-N defines a human-readable notation for provenance. This is used to define the conceptual model as well as PROV-CONSTRAINTS.|
|6||Advanced||Rec||PROV-CONSTRAINTS defines a set constraints that define a notion of valid provenance. It is specifically aimed at the implementors of validators.|
|7||Developers||Note||PROV-AQ defines how to use Web-based mechanisms to locate and retrieve provenance information.|
|8||Developers||Note||PROV-DC defines a mapping between Dublin Core and PROV.|
|9||Developers||Note||PROV-DICTIONARY defines constructs for expressing the provenance of dictionary style data structures.|
|10||Advanced||Note||PROV-SEM defines a declarative specification in terms of first-order logic of the PROV data model;|
|11||Advanced||Note||PROV-LINKS Defines extensions to PROV to enable linking provenance information across containers for provenance|
This document has been produced by the PROV Working Group, and its contents reflect extensive discussion within the Working Group as a whole.
Members of the PROV Working Group at the time of publication of this document were: Ilkay Altintas (Invited expert), Reza B'Far (Oracle Corporation), Khalid Belhajjame (University of Manchester), James Cheney (University of Edinburgh, School of Informatics), Sam Coppens (IBBT), David Corsar (University of Aberdeen, Computing Science), Stephen Cresswell (The National Archives), Tom De Nies (IBBT), Helena Deus (DERI Galway at the National University of Ireland, Galway, Ireland), Simon Dobson (Invited expert), Martin Doerr (Foundation for Research and Technology - Hellas(FORTH)), Kai Eckert (Invited expert), Jean-Pierre EVAIN (European Broadcasting Union, EBU-UER), James Frew (Invited expert), Irini Fundulaki (Foundation for Research and Technology - Hellas(FORTH)), Daniel Garijo (Universidad Politécnica de Madrid), Yolanda Gil (Invited expert), Ryan Golden (Oracle Corporation), Paul Groth (Vrije Universiteit), Olaf Hartig (Invited expert), David Hau (National Cancer Institute, NCI), Sandro Hawke (W3C/MIT), Jörn Hees (German Research Center for Artificial Intelligence (DFKI) Gmbh), Ivan Herman, (W3C/ERCIM), Ralph Hodgson (TopQuadrant), Hook Hua (Invited expert), Trung Dong Huynh (University of Southampton), Graham Klyne (University of Oxford), Michael Lang (Revelytix, Inc.), Timothy Lebo (Rensselaer Polytechnic Institute), James McCusker (Rensselaer Polytechnic Institute), Deborah McGuinness (Rensselaer Polytechnic Institute), Simon Miles (Invited expert), Paolo Missier (School of Computing Science, Newcastle university), Luc Moreau (University of Southampton), James Myers (Rensselaer Polytechnic Institute), Vinh Nguyen (Wright State University), Edoardo Pignotti (University of Aberdeen, Computing Science), Paulo da Silva Pinheiro (Rensselaer Polytechnic Institute), Carl Reed (Open Geospatial Consortium), Adam Retter (Invited Expert), Christine Runnegar (Invited expert), Satya Sahoo (Invited expert), David Schaengold (Revelytix, Inc.), Daniel Schutzer (FSTC, Financial Services Technology Consortium), Yogesh Simmhan (Invited expert), Stian Soiland-Reyes (University of Manchester), Eric Stephan (Pacific Northwest National Laboratory), Linda Stewart (The National Archives), Ed Summers (Library of Congress), Maria Theodoridou (Foundation for Research and Technology - Hellas(FORTH)), Ted Thibodeau (OpenLink Software Inc.), Curt Tilmes (National Aeronautics and Space Administration), Craig Trim (IBM Corporation), Stephan Zednik (Rensselaer Polytechnic Institute), Jun Zhao (University of Oxford), Yuting Zhao (University of Aberdeen, Computing Science).