The provenance data model (third working draft)

The Provenance Working Group began its activities with a charter naming some 17 concepts relevant to provenance, such as resource, process execution, use, derivation, version, etc

For the first 3 months leading to our first face to face meeting, we debated definitions for these concepts. Importantly, for the social cohesion of the group, we developed a common vocabulary shared by members to communicate.

Following the first face to face meeting, editors were tasked to produce a concrete document, against which the group could formally raise issues and make concrete proposals. In October, this document was released as a first public working draft. We were aware of its limitations, but it served an important purpose: it was setting the direction and scope of the model we were proposing to standardize.

Since then, the group has worked really hard at rationalising concepts of the PROV data model. Key hilights include:

  • introduction of the notion of responsibility, which may be assigned to agents, for the activities they participated in
  • a better characterisation of derivation, which represents, for example, the transformation of a raw data set into linked data
  • ability for the model to track how collections of data evolved
  • a relation which expresses that two different descriptions relate in some way to a same thing in the world
  • definition of a set of constraints, which allow humans and reasoners to determine whether a set of provenance assertions makes sense

The third working draft includes these changes, and we feel that the data model has reached some level of stability, and that from now on any release should be synchronised with PROV ontology definition and the PROV primer.

At our second face to face meeting, we debated intensively what identifiers of the model denote. A challenge one faces with provenance (as well as any form of metadata) is that provenance may no longer be valid if the subject of provenance changes. To make provenance assertions robust, a partial state of the subject has to be characterised in terms of time and attributes, and its provenance expressed.

However, a lot of current practice simply identifies the subject of provenance with a URI where nothing is said about the identified resource state. Thus, the prov-wg has decided that it will present the data model, to support this common usage. In a separate document, an upgrade path will be proposed: to produce a more robust form of provenance, extra assertions can make explicit the extent to which provenance assertions keep an interpretation when changes in subjects occur.

Work on the fourth working draft has already begun; when complete, I will blog again about it.

Semantic Web Activity News

GD Star Rating
Be Sociable, Share!
  • more The provenance data model (third working draft)

Additional Resources

Privacy Policy | Terms of Use | Disclaimer | Comments Policy | Disclosure


    © 2012 e-Marketing Mixology.


    e-Marketing Mixology is an internet marketing blog offering practical insights for online merchants, students, bloggers and other people who are interested on the subject matter. Our methodology to electronic marketing is integrated or holistic in approach. We cover the broad scopes on digital marketing which includes: Search engine optimization, Social media marketing, Email marketing, Referral marketing, Content marketing, Search engine marketing, Pay per click, Cost per impression, Search analytics, Web analytics, Display advertising, Contextual advertising, Behavioral targeting, Affiliate marketing, Cost per action, Revenue sharing and Mobile advertising.


    We distill ideas from the experts and from our professional experience, and make it applicable to your online business. We test and review digital marketing books, software, scripts and other related products and services. We expose the scams of self-proclaimed “internet marketing gurus” and their ways to make money on you. You can truly call us the “mixer of e-marketing ingredients”. We are your internet marketing consultant for hire.


    Our projects have page views coming from countries with English-speaking population which includes United States, United Kingdom, Canada, Australia, Ireland, South Africa, New Zealand, Philippines, Jamaica, Spain, Trinidad and Tobago, Singapore, Guyana, Liberia, Sierra Leone, Malaysia, Germany, Barbados, Bahamas, Zimbabwe, India, Hong Kong, Belize, Papua New Guinea, Saint Vincent and the Grenadines, Zambia, Grenada, Israel, Puerto Rico, Nigeria, Pakistan, Ghana, U.S. Virgin Islands, Japan, China, Switzerland, Antigua and Barbuda, Bermuda, Vanuatu, Guam, Saint Kitts and Nevis, Cayman Islands, Honduras, Saint Lucia, Gibraltar, British Virgin Islands, Namibia, Anguilla, Solomon Islands, Sri Lanka, Brunei, Aruba, Dominican Republic, Fiji, Saint Helena, Northern Mariana Islands, Federated States of Micronesia, Montserrat, British Indian Ocean Territory, Dominica, Seychelles, American Samoa, Mauritius, Falkland Islands, Ethiopia, Russia, Norfolk Island, Cook Islands, Samoa, Turks and Caicos Islands, Nauru, Palau, Guadeloupe, Saint Pierre and Miquelon, Niue, Pitcairn, Tokelau, East Timor and South Korea.

Visit Us On TwitterVisit Us On FacebookVisit Us On Google PlusCheck Our Feed