A Semiotics Framework for Analyzing Data Provenance Research

A Semiotics Framework for Analyzing Data Provenance Research

A Software Framework for Data Provenance

Data provenance refers to the historical record of the derivation of the data, allowing the reproduction of experiments, interpretation of results and identification of problems through the analysis of the processes that originated the data. Data provenance contributes to the evaluation of experiments. This paper presents a framework for data provenance using the W3C provenance data model, call...

The Aspect-Oriented Architecture of the CAPS Framework for Capturing, Analyzing and Archiving Provenance Data

With aspect-oriented programming techniques, modularity may be achieved via separating cross-cutting concerns. Data provenance can be considered as a crosscutting concern: code for collecting provenance data is usually scattered across various places in a software system. Aspect-oriented programming allows to seamlessly integrate cross-cutting concerns into existing software applications withou...

Research Problems in Data Provenance

The problem of tracing the provenance (also known as lineage) of data is an ubiquitous problem that is frequently encountered in databases that are the result of many transformation steps. Scientific databases and data warehouses are some examples of such databases. However, contributions from the database research community towards this problem have been somewhat limited. In this paper, we mot...

A Provenance Framework for Data-Dependent Process Analysis

A data-dependent process (DDP) models an application whose control flow is guided by a finite state machine, as well as by the state of an underlying database. DDPs are commonly found e.g., in e-commerce. In this paper we develop a framework supporting the use of provenance in static (temporal) analysis of possible DDP executions. Using provenance support, analysts can interactively test and ex...