Open Provenance Model Tutorial Session 0: Introduction. Luc Moreau [email protected] University of Southampton. Tutorial contents. Session 1: Background on Provenance and OPM (0.5 hour)
In session 1, you will learn about the notion of provenance and the "Open Provenance Vision", an architectural vision allowing the provenance of individual components to be expressed uniformly represented, connected in a coherent fashion, and queried seamlessly. These ideas were developed in the context of the Provenance Challenge Series, a community activity that led to the development of the Open Provenance Model.
In session 2, you will learn about the core constituents of the OPM data model, its inference rules and extant efforts for providing a semantics to OPM.
In session 3, you will learn how to serialize an OPM Graph in a concrete serialization format. Specifically, this session will cover the XML Schema for OPM, the OWL ontology for OPM, and the challenges in implementing OPM inferences with Semantic Web technologies.
In session 4, you will learn about use cases that demonstrate the need for provenance, drawn from the W3C Incubator on provenance and the data.gov.uk application. You will also learn how to identify and organize provenance issues from a use case, and determine how OPM can help. To foster interactions, participants are invited to think about and bring their own use cases.
In session 5, you will learn about: how to extend OPM through profiles, the content of a profile, four emerging profiles for OPM, how to get involved with your own profile
In session 6, you will learn about steps towards interoperability, interoperability challenges, and next steps towards achieving interoperability.
In session 7, you will learn about the Open Provenance Model Vocabulary (OPMV), a Semantic Web approach to provenance aiming to be compatible with OPM, and its application to the data.gov.uk application.
In Session 8, you will learn how to design an OPM graph, and generate it from Java (with the OPM toolbox) or craft it by hand (from Protege), or both; you will then learn how to embed provenance inside a document using ProvenanceJS.