While there has been a great deal of research on provenance systems, there has been little discussion about challenges that arise when making different provenance systems interoperate. In fact, most of the literature focuses on provenance systems in isolation and does not discuss interoperability – what it means, its requirements, and how to achieve it. We designed the Provenance-Aware Storage ...

Although provenance gained much attention, solutions to capture provenance do not meet all the requirements. For instance, most solution currently assume a closed world and are explicitly designed to capture provenance. Thus, they fail in integrating the provenance concern into existing environments. Hence, we argue that provenance should be considered as cross-cutting concern that can easily b...

We present an overview of GProM, a generic provenance middleware for relational databases. The system supports diverse provenance and annotation management tasks through query instrumentation, i.e., compiling a declarative frontend language with provenance-specific features into the query language of a backend database system. In addition to introducing GProM, we also discuss research contribut...

Though partially automated, developing schema mappings remains a complex and potentially error-prone task. In this paper, we present TRAMP (TRAnsformationMapping Provenance), an extensive suite of tools supporting the debugging and tracing of schema mappings and transformation queries. TRAMP combines and extends data provenance with two novel notions, transformation provenance and mapping prove...

Data Provenance is information about the origin and creation process of data. Such information is useful for debugging data and transformations, auditing, evaluating the quality of and trust in data, modelling authenticity, and implementing access control for derived data. Provenance has been studied by the database, workflow, and distributed systems communities, but provenance for Big Data whi...

The openness of the Web and the ease to combine linked data from different sources creates new challenges. Systems that consume linked data must evaluate quality and trustworthiness of the data. A common approach for data quality assessment is the analysis of provenance information. For this reason, this paper discusses provenance of data on the Web and proposes a suitable provenance model. Whi...

We propose a new model of provenance, based on a game-theoretic approach to query evaluation. First, we study gamesG in their own right, and ask how to explain that a position x in G is won, lost, or drawn. The resulting notion of game provenance is closely related to winning strategies, and excludes from provenance all “bad moves”, i.e., those which unnecessarily allow the opponent to improve ...

In this paper we discuss various aspects in intelligence analysis relating to provenance and the new requirements resulting from the changed nature of terrorist activities. We propose a three-layer provenance model which relates the scope of provenance to the intelligence workflow and the idea of a ’provenance reasoning workspace’ for integrating provenance information into visual analytic tools.

In a provenance-aware system, mechanisms gather and report metadata that describes the history of each object being processed on the system, allowing users to understand how data objects came to exist in their present state. However, while past work has demonstrated the usefulness of provenance, less attention has been given to securing provenance-aware systems. Provenance itself is a ripe atta...

Cloud providers can optimize resource utilization and energy consumption by finding patterns in their usage. One way of finding such patterns is to study the history of Cloud resources activity. This approach is known as Cloud provenance. Provenance can also be used to track errors and faults in Cloud services. We have developed a provenance framework for research Clouds in order to find the hi...