Since changes caused by database updates combine with the internal changes caused by database schema evolution, an integrated provenance management for data and metadata represents a key requirement for modern information systems. In this paper, we introduce the Archived Metadata and Provenance Manager (AM&PM) system which addresses this requirement by (i) extending the Information Schema with ...

For the First Provenance Challenge, we introduce a layered model to represent workflow provenance that allows navigation from an abstract model of the experiment to instance data collected during a specific experiment run. We outline modest extensions to a commercial workflow engine so it will automatically capture provenance at workflow runtime. We also present an approach to store this proven...

Provenance models are crucial for describing experimental results in science. The W3C Provenance Working Group has recently released the PROV family of specifications for provenance on the Web. While provenance focuses on what is executed, it is important in science to publish the general methods that describe scientific processes at a more abstract and general level. In this paper, we propose ...

Case provenance concerns how cases came into being in a case-based reasoning system. Case provenance information has been proposed as a resource to exploit for tasks such as guiding case-based maintenance and estimating case confidence [1]. The paper presents a new bidirectional provenance-based method for propagating case confidence, examines when provenance-based maintenance is likely to be u...

Often data processing is not implemented by a workflow system or an integration application but is performed manually by humans along the lines of a more or less specified procedure. Collecting provenance information in semistructured processes can not be automated. Further, manual collection of provenance information is error prone and time consuming. Therefore, we propose to infer provenance ...

Often data processing is not implemented by a workflow system or an integration application but is performed manually by humans along the lines of a more or less specified procedure. Collecting provenance information during manual data processing can not be automated. Further, manual collection of provenance information is error prone and time consuming. Therefore, we propose to infer provenanc...

VisTrails is a new workflow and provenance management system that provides support for scientific data exploration and visualization. Whereas workflows have been traditionally used to automate repetitive tasks, for applications that are exploratory in nature, change is the norm. VisTrails uses a new change-based provenance mechanism which was designed to handle rapidly-evolving workflows. It un...

As provenance records are collected from an increasingly diverse set of sources, the need to integrate them grows. The alternative approach of reconciling semantics scales when the records are queried infrequently. However, as the use of provenance grows, normalizing the diverse provenance via formal integration will yield better query performance. We describe two motivating cases for integrati...

Provenance refers to the origin of a particular object. In computational terms, provenance is a historical record of the derivation of data that can help to understand the current record. In this context, this work presents a proposal for software processes improvement using a provenance data model and an ontology. This improvement can be obtained by process data execution analysis with an appr...

Systems that gather fine-grained provenance metadata must process and store large amounts of information. Filtering this metadata as it is collected has a number of benefits, including reducing the amount of persistent storage required and simplifying subsequent provenance queries. However, writing these filters in a procedural language is verbose and error prone. We propose a simple declarativ...