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Defining a Provenance Model for Journalism Using Semantic Web Technologies

This document outlines the objectives and agenda for the first face-to-face meeting of the Provenance Working Group. The primary focus is to establish a comprehensive provenance model suitable for usage in journalism scenarios. Key tasks include identifying and defining crucial provenance concepts, utilizing the Provenance XG final report, and employing Semantic Web technologies for formal semantics. Prioritized concepts will be discussed, issues will be reconciled, and a consolidated list of definitions will be developed to guide future work on provenance-related assertions within the PI Language.

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Defining a Provenance Model for Journalism Using Semantic Web Technologies

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  1. Model Task ForceFirst Provenance WG F2F Satya Sahoo, Paolo Missier, Khalid Belhajjame, Jun Zhao Boston, MA

  2. Background • Objective: Define the provenance model to be used in PIL • Tasks • Identify and provide description of provenance concepts using • Provenance XG final report • Journalism example scenario • Use Semantic Web technologies to define the provenance concepts • Provide formal semantics of the provenance model

  3. Agenda for first F2F • A set of prioritized provenance concepts identified (ref: journalism example) • Thing • Invariant View or Perspective on Thing • Process Execution • Derivation • Use • Generation • Agent • Temporal ordering • Reach agreement on the definitions of prioritized provenance concepts

  4. Agenda for first F2F • Work completed prior to first F2F • Review, curation, and consolidation of prioritized concept definitions • Enumerate outstanding issues related to prioritized concepts • Issues for discussion: • Finalize definitions of prioritized concepts (reconcile outstanding issues) • Evolve consolidated list of prioritized concepts towards a report/descriptive document • Review status of concepts not prioritized for F2F • Coordinate with provenance access and query task force

  5. Agreement on Provenance Concepts • Agreement reached during weekly meetings among WG members • The subject of provenance may be anything, whether physical, digital, conceptual or otherwise • To define provenance-related concepts independently of the web architecture in a first instance • Definition of thing and the invariant view or perspective of thing • Definition of process execution (differentiate between execution and specification, has duration, and start of execution is always in past) • Definition of derivation • PIL is an assertion language • Use constraints introduced in definitions of concepts as building blocks for understanding PIL

  6. Outstanding Issues • Resolve outstanding issues for concepts with agreement over their definitions • IVPT • Process execution • Derivation • Agree on definitions of following prioritized concepts • Agent • Use • Generation • Ordering of process execution • Time

  7. Next steps for the Model TF • Formalization of the prioritized provenance concepts • Describe the journalism example using the prioritized concepts • Represent the description using Semantic Web technologies (RDF) • Define semantics of the encoding • Rephrase provenance queries in journalism example using prioritized concepts • Primer on provenance model

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