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OPQL: Querying scientific workflow provenance at the graph level
Data and Knowledge Engineering, 2013Shiyong Lu +2 more
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Provenance browser: Displaying and querying scientific workflow provenance graphs
2010 IEEE 26th International Conference on Data Engineering (ICDE 2010), 2010This demonstration presents an interactive provenance browser for visualizing and querying data dependency (lineage) graphs produced by scientific workflow runs. The browser allows users to explore different views of provenance as well as to express complex and recursive graph queries through a high-level query language (QLP).
Manish Kumar Anand +2 more
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Workflows to open provenance graphs, round-trip
Future Generation Computer Systems, 2011The Open Provenance Model is designed to capture relationships amongst data values, and amongst processors that produce or consume those values. While OPM graphs are able to describe aspects of a workflow execution, capturing the structure of the workflows themselves is understandably beyond the scope of the OPM specification, since the graphs may be ...
Paolo Missier, Carole A. Goble
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Access control and view generation for provenance graphs
Future Generation Computer Systems, 2015Data provenance refers to the knowledge about data sources and operations carried out to obtain some piece of data. A provenance-enabled system maintains record of the interoperation of processes across different modules, stages and authorities to capture the full lineage of the resulting data, and typically allows data-focused audits using semantic ...
Roxana Dánger +3 more
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A Graph Testing Framework for Provenance Network Analytics
2018Provenance Network Analytics is a method of analyzing provenance that assesses a collection of provenance graphs by training a machine learning algorithm to make predictions about the characteristics of data artifacts based on their provenance graph metrics.
Bernard Roper +3 more
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Abstracting PROV provenance graphs: A validity-preserving approach
Future Generation Computer Systems, 2020Abstract Data provenance is a structured form of metadata designed to record the activities and datasets involved in data production, as well as their dependency relationships. The PROV data model, released by the W3C in 2013, defines a schema and constraints that together provide a structural and semantic foundation for provenance.
Paolo Missier +3 more
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Techniques for efficiently querying scientific workflow provenance graphs
Proceedings of the 13th International Conference on Extending Database Technology, 2010A key advantage of scientific workflow systems over traditional scripting approaches is their ability to automatically record data and process dependencies introduced during workflow runs. This information is often represented through provenance graphs, which can be used by scientists to better understand, reproduce, and verify scientific results ...
Manish Kumar Anand +2 more
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A navigation model for exploring scientific workflow provenance graphs
Proceedings of the 4th Workshop on Workflows in Support of Large-Scale Science, 2009Many scientific workflow systems record provenance information in the form of data and process dependencies as part of workflow execution. Users often wish to explore these dependencies to reproduce, validate, and explain workflow results, e.g., by examining the data and processes that were used to produce particular workflow outputs.
Manish Kumar Anand +2 more
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Continuous-Time Temporal Graph Learning on Provenance Graphs
2023 IEEE International Conference on Data Mining Workshops (ICDMW), 2023Jakub Reha +4 more
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Database Support for Exploring Scientific Workflow Provenance Graphs
2012Provenance graphs generated from real-world scientific workflows often contain large numbers of nodes and edges denoting various types of provenance information. A standard approach used by workflow systems is to visually present provenance information by displaying an entire (static) provenance graph. This approach makes it difficult for users to find
Manish Kumar Anand +2 more
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