On Provenance Minimization

Modelling Provenance Collection Points and Their Impact on Provenance Graphs

As many domains employ ever more complex systems-of-systems, capturing provenance among component systems is increasingly important. Applications such as intrusion detection, load balancing, traffic routing, and insider threat detection all involve monitoring and analyzing the data provenance. Implicit in these applications is the assumption that “good” provenance is captured (e.g. complete pro...

A Primer on Database Provenance

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Recording Provenance on Probabilistic Databases

Tracking data provenance (or lineage) has become increasingly important in many large-scale applications. Till now, a few methods have been proposed to record data provenance. However, most of them mainly focus on deterministic databases except Trio style lineage that aims at probabilistic databases. Processing provenance upon probabilistic database is even challenging because of the exponentia...

Reflections on Provenance Ontology Encodings

As more data (especially scientific data) is digitized and put on the Web, the importance of tracking and sharing its provenance metadata grows. Besides capturing the annotation properties of data, provenance research also emphasizes interlinking relevant data. Therefore, it is desirable to make provenance metadata easy to access, share, reuse, integrate and reason with. To address these requir...

The Provenance of Provenance in Germanic Areas