Overview
Computing has been an enormous accelerator to science and industry alike and it has led to an information explosion in many different fields. The unprecedented volume of data acquired from sensors, derived by simulations and data analysis processes, accumulated in warehouses, and often shared on the Web, has given rise to a new field of research: provenance management. Provenance (also referred to as audit trail, lineage, and pedigree) captures information about the steps used to generate a given data product. Such information provides important documentation that is key to preserve data, to determine the data's quality and authorship, to understand, reproduce, as well as validate results.
The problem of provenance management is inherently interdisciplinary. Provenance solutions are needed in many different domains and applications, from environmental science and physics simulations, to business processes and data integration in warehouses. Not surprisingly, different techniques and provenance models have been proposed in many areas such as workflow systems, visualization, databases, digital libraries, and knowledge representation. An important challenge we face today is how to integrate these techniques and models so that complete provenance can be derived for complex data products.
Goals
The goal of this workshop is to bring together computer scientists from different areas and provenance users to discuss open problems related to the provenance of computational and non-computational artifacts. Of special relevance to this edition of the workshop are papers that address fundamental issues related to the understanding and integration of different provenance techniques. The topics of interest include but are certainly not limited to:
- Models for provenance
- Architectures and data management techniques for provenance data
- Applications requiring provenance, case studies, methodologies
- Provenance-based reasoning and Semantic Web techonologies
- Security and privacy for provenance data
- Provenance integration and interoperability
- Query languages and query processing techniques for provenance data
- Storage and query interfaces for workflows
- Provenance analytics, mining and visualization
- Provenance systems, functionality, protocols, implementation
- Provenance, business processes and compliance
- System prototypes and commercial solutions
- Provenance in Scientific Publications
- Provenance and its relationship to annotation and metada
Submission Instructions
Authors are invited to submit original, unpublished research papers that are not being considered for publication in any other forum. Papers submitted cannot exceed 12 pages in length, including reference and appendix. Detailed submission instructions will be available on the Submission page. Submitted research papers will also be automatically considered for the poster-only option. Proceedings will be published after the workshop by Springer.
Besides regular paper submissions, to foster interaction on hot topics and ongoing work, IPAW 2008 also welcomes the submission of posters and software demonstration proposals. Posters and demo proposals should be 4 pages long when formatted using the using the same format as that of research papers. Demonstration proposals should outline the context and highlights of the software to be presented, and briefly describe the demo scenario. Posters submissions should focus on innovative work related to IPAW's topics of interest; we encourage the joint submission of posters describing new concepts and fundamental results and of demo proposals of software developed based on those new concepts.
All of the submissions will be handled electronically. Each paper will be reviewed by at least three members of the program committee.
Important Dates
| Abstract deadline | March 8, 2008 |
| Submission deadline (papers, demos & posters) | March 15, 2008 |
| Notification to authors | April 20, 2008 |
| Camera-ready due | Fri, May 30, 2008 |
| Presentations due | Fri, June 13, 2008 |
| Workshop | June 17-18, 2008 |