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Results of Questionnaire W3C PROV Vocabulary Usage Survey

The results of this questionnaire are available to those with member access on the W3C site. In addition, answers are sent to the following email address: zednis@rpi.edu

This questionnaire is open from 2012-01-11 to 2013-03-30.

5 answers have been received.

Jump to results for question:

  1. Vocabulary Usage Information
  2. Contact Information
  3. PROV Encodings Supported
  4. Feature Coverage
  5. Provenance Exchange

Vocabulary Usage Information

Please provide the name and url of the dataset, website or other set of content that uses PROV to describe provenance. We also encourage you to fill out this form if your site uses an extension to PROV.

Details

Responder NameURLDescription
Miguel Angel García Geometry enhancer http://geo.linkeddata.es/ Geometry enhancer is a tool to enrich an RDF with locations by querying different web services. The provenance of the whole process is tracked using PROV-O terms.
Victor Rodriguez Music Ontology to Media Value Chain Ontology and PROV-O Ontology Mapping http://oeg-dev.dia.fi.upm.es/mvco-prov/ Mapping between the Music Ontology, the Media Value Chain Ontology and the PROV-O. The Music Ontology describes general musical-related concepts, the Media Value Chain Ontology describes the Intellectual Property along the multimedia life-cycles and the PROV-O Ontology is the W3C standard for representing provenance information in the web. Together, these ontologies provide an homogeneous access to the chain of intermediate objects and actions that happen until a musical work is ready to be consumed (also known as the Music Workflow).
Luc Moreau PROV-DM: the PROV data model http://www.w3.org/TR/prov-dm/ 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.

The PROV Document Overview describes the overall state of PROV, and should be read before other PROV documents.
Jens Lehmann DBpedia http://dbpedia.org
Rinke Hoekstra AERS-LD http://aers.data2semantics.org RDF representation of the Adverse Events repository of the FDA. Contains descriptions in PROV on how this data was constructed.

Contact Information

Details

Responder NameEmail
Miguel Angel García Daniel Garijo dgarijo@fi.upm.es
Victor Rodriguez Daniel Garijo dgarijo@fi.upm.es
Luc Moreau Luc Moreau (prov-dm editor, on behalf of the Provenance Working Group) l.moreau@ecs.soton.ac.uk
Jens Lehmann Jens Lehmann lehmann@informatik.uni-leipzig.de
Rinke Hoekstra Rinke Hoekstra rinke.hoekstra@vu.nl

PROV Encodings Supported

summary | by responder | by choice

Choose all that apply

Summary

(The results on your answers appears in bold)

ChoiceAll responders
Results
PROV-O 4
PROV-N 1
PROV-XML

Skip to view by choice.

View by responder

Details

Responder PROV Encodings SupportedPlease list any additional supported encodings (e.g. PROV-JSON, PROV-CSV, etc.) in the free-text area below
Miguel Angel García
  • PROV-O
Victor Rodriguez
  • PROV-O
Luc Moreau
  • PROV-N
Jens Lehmann
  • PROV-O
Rinke Hoekstra
  • PROV-O

View by choice

ChoiceResponders
PROV-O
  • Miguel Angel García
  • Victor Rodriguez
  • Jens Lehmann
  • Rinke Hoekstra
PROV-N
  • Luc Moreau
PROV-XML

Feature Coverage

Indicate covered features by selecting one of the following below:

Summary

(The results on your answers appears in bold)

ChoiceAll responders
123No opinion
Entity 4 1
Activity 4 1
Agent 4 1
Generation 4 1
Usage 4 1
Communication 2 3
Derivation 4 1
Attribution 3 2
Association 3 2
Delegation 2 3
Start 1 4
End 1 4
Invalidation 1 4
Revision 2 3
Quotation 1 4
PrimarySource 1 4
Person 1 4
Organization 1 4
SoftwareAgent 2 3
Plan 2 3
Influence 1 4
Bundle 1 4
Specialization 1 4
Alternate 1 4
Collection 1 4
EmptyCollection 1 4
Membership 1 4
Identifier 1 4
Attributes 1 4
Label 1 4
Location 1 4
Role 1 4
Type 1 4
Value 1 4

Averages:

Choices All responders:
Value
Entity2.00
Activity2.00
Agent2.00
Generation2.00
Usage2.00
Communication2.00
Derivation2.00
Attribution2.00
Association2.00
Delegation2.00
Start2.00
End2.00
Invalidation2.00
Revision2.00
Quotation2.00
PrimarySource2.00
Person2.00
Organization2.00
SoftwareAgent2.00
Plan2.00
Influence2.00
Bundle2.00
Specialization2.00
Alternate2.00
Collection2.00
EmptyCollection2.00
Membership2.00
Identifier2.00
Attributes2.00
Label2.00
Location 2.00
Role2.00
Type2.00
Value2.00

Details

Responder EntityActivityAgentGenerationUsageCommunicationDerivationAttributionAssociationDelegationStartEndInvalidationRevisionQuotationPrimarySourcePersonOrganizationSoftwareAgentPlanInfluenceBundleSpecializationAlternateCollectionEmptyCollectionMembershipIdentifierAttributesLabelLocation RoleTypeValueRationale
Miguel Angel García 2 2 2 2 2 2 2 2 2 2 No opinion No opinion No opinion 2 No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion
Victor Rodriguez 2 2 2 2 2 No opinion No opinion 2 2 No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion The document http://oeg-dev.dia.fi.upm.es/mvco-prov/ Explains the rationale for each mapping in detail.

The mapping proposes some subclassing of PROV-O concepts (so it could be considered an extension). However, since no new classes are proposed, it has been considered a "PROV usage".
Luc Moreau 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 PROV-DM defines all these PROV features and illustrates them using the PROV notation.
Jens Lehmann No opinion No opinion No opinion No opinion No opinion No opinion 2 No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion
Rinke Hoekstra 2 2 2 2 2 No opinion 2 No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion 2 2 No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion No opinion

Provenance Exchange

Is this vocabulary extension generated or consumed by an implementation, which one(s)?

Details

Responder Provenance Exchange
Miguel Angel García
Victor Rodriguez
Luc Moreau All the examples in this document can be validated by ProvValidator (which is built in on the ProvToolbox used to parse them).

Jens Lehmann
Rinke Hoekstra Yes, it is generated by http://gitub.com/Data2Semantics/raw2ld

More details on responses

Non-responders

The following persons have not answered the questionnaire:

  1. Daniel Schutzer <dan.schutzer@fstc.org>
  2. Ivan Herman <ivan@w3.org>
  3. Graham Klyne <graham.klyne@zoo.ox.ac.uk>
  4. Sandro Hawke <sandro@w3.org>
  5. Deborah McGuinness <dlm@cs.rpi.edu>
  6. Ralph Hodgson <rhodgson@topquadrant.com>
  7. Carl Reed <creed@opengeospatial.org>
  8. Ed Summers <ehs@pobox.com>
  9. Khalid Belhajjame <Khalid.Belhajjame@cs.man.ac.uk>
  10. Irini Fundulaki <fundul@ics.forth.gr>
  11. Satya Sahoo <satya.sahoo@case.edu>
  12. Jun Zhao <jun.zhao@zoo.ox.ac.uk>
  13. Ted Thibodeau <tthibodeau@openlinksw.com>
  14. Jean-Pierre EVAIN <evain@ebu.ch>
  15. Yolanda Gil <gil@isi.edu>
  16. Paulo Pinheiro da Silva <paulo@utep.edu>
  17. Olaf Hartig <hartig@informatik.hu-berlin.de>
  18. James McCusker <mccusj@rpi.edu>
  19. Paul Groth <p.t.groth@vu.nl>
  20. James Cheney <jcheney@inf.ed.ac.uk>
  21. Curt Tilmes <Curt.Tilmes@nasa.gov>
  22. Simon Miles <simon.miles@kcl.ac.uk>
  23. James Myers <myersj4@rpi.edu>
  24. Christine Runnegar <runnegar@isoc.org>
  25. Edoardo Pignotti <e.pignotti@abdn.ac.uk>
  26. Kai Eckert <kai@informatik.uni-mannheim.de>
  27. Sam Coppens <sam.coppens@ugent.be>
  28. Yogesh Simmhan <simmhan@usc.edu>
  29. Daniel Garijo <dgarijo@delicias.dia.fi.upm.es>
  30. Michael Panzer <panzerm@oclc.org>
  31. Adam Retter <adam@exist-db.org>
  32. James Frew <frew@bren.ucsb.edu>
  33. Timothy Lebo <lebot@rpi.edu>
  34. Vinh Nguyen <vinh@knoesis.org>
  35. Helena Deus <helena.deus@deri.org>
  36. david schaengold <dschaengold@revelytix.com>
  37. Jörn Hees <joern.hees@dfki.de>
  38. Simon Dobson <simon.dobson@st-andrews.ac.uk>
  39. David Corsar <dcorsar@abdn.ac.uk>
  40. Ilkay Altintas <altintas@sdsc.edu>
  41. Eric Stephan <ericphb@gmail.com>
  42. Maria Theodoridou <maria@ics.forth.gr>
  43. Linda Stewart <linda.stewart@nationalarchives.gsi.gov.uk>
  44. Martin Doerr <martin@ics.forth.gr>
  45. Stephan Zednik <zednis@rpi.edu>
  46. Trung Dong Huynh <tdh@ecs.soton.ac.uk>
  47. Stian Soiland-Reyes <soiland-reyes@cs.manchester.ac.uk>
  48. Stephen Cresswell <stephen.cresswell@tso.co.uk>
  49. Reza B'Far <reza.bfar@oracle.com>
  50. Ryan Golden <ryan.golden@oracle.com>
  51. Paolo Missier <paolo.missier@ncl.ac.uk>
  52. Robert Freimuth <freimuth.robert@mayo.edu>
  53. Michael Lang <mikelangjr@revelytix.com>
  54. Craig Trim <cmtrim@us.ibm.com>
  55. Tom De Nies <tom.denies@ugent.be>
  56. Hook Hua <hook.hua@jpl.nasa.gov>

Send an email to all the non-responders.


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