* Call for Papers *
BIGProv'13: International Workshop on Managing and Querying Provenance
Data at Scale
http://sites.google.com/site/bigprov13/
inquiries: [email protected]
Held in conjunction with EDBT/ICDT 2013: http://edbticdt2013.disi.unige.it/
*March 22nd, 2013, Genova, Italy*
----------------
IMPORTANT DATES:
----------------
Paper submission: *Dec. 1, 2012*
Notification to authors: Jan 11, 2013
Jan 23 Deadline for camera-ready copy
March 22: Workshop
-----
FOCUS
-----
Provenance data is poised to become pervasive in key areas of
information management, ranging from traditional areas of science (i.e.,
life sciences, earth sciences, astronomy, etc.), to new applications
enabled by the Web (e.g., social sciences, social network analysis,
quality and trust in Web publishing).
As the volume of provenance metadata increases with the volume of the
underlying data whose history it describes, new challenges for managing
and querying provenance at scale emerge, i.e., provenance data is
growing in both "count" and "complexity". It is growing in count because
of the very large number of provenance traces (one for each Twitter
message, for example), and in complexity in the case of provenance
graphs that are generated from provenance-enabled programming
environments (e.g., scientific workflow systems) and middleware.
Data-intensive science is bound to produce provenance that fares high on
both accounts.
At the same time, emerging standards such as PROV, the W3C
recommendation for provenance modelling and Web-based access, suggest
that provenance data will increasingly be encoded using Semantic Web
technology. This in turn suggests that provenance data will soon form a
natural extension of, and seamlessly blend with, the growing Linked Data
Cloud.
The new Managing and Querying Provenance Data at Scale workshop
(BIGProv) stems from these premises. We are interested in exploring the
system and modelling challenges associated with collecting, storing,
querying, and exploiting large volumes of possibly complex provenance
data. We seek to map the state of the art, elicit new research problems,
and learn about existing systems. More specifically, the workshop scope
includes the following topics:
- Automated capture of provenance at multiple layers (system,
middleware, applications)
- Database models, languages, and systems for storing and querying
large-scale provenance
- Provenance and Linked Open Data (LOD): seamless representation and
query models
- Comparison and performance benchmarking of different data
architectures and query models for provenance
- Analysis of existing graph query models and systems for provenance graphs
- Reference datasets for provenance benchmarking
- System descriptions and demonstrations of large-scale provenance and
graph data
- Uniform querying over heterogeneous provenance traces
- Abstraction models for provenance and their applications to user
presentation, visualization, and privacy preservation
----------------
SUBMISSION GUIDELINES
----------------
Our primary goal is to generate an interesting and lively discussion.
Thus, we envision a variety of contributions, small and large, reporting
on prototype systems or performance analysis, as well as work in
progress, and position or vision papers. Submissions are encouraged in
two categories:
- short papers (up to 4 pages)
- regular papers (up to 8 pages)
Additionally, authors are encouraged to also present a poster of their
work, possibly jointly with the main EDBT poster session (to be confirmed).
Submissions should be formatted using the ACM Proceedings format:
http://www.acm.org/sigs/publications/proceedings-templates
Please see the workshop website for a link to the submission site.
----------------
PUBLICATION
----------------
Accepted papers will be included in the official EDBT workshop proceedings.
---------------------------
Workshop Organizers
---------------------------
Bertram Ludaescher, UC Davis, CA ([email protected])
Paolo Missier, Newcastle University, UK ([email protected])
Proceedings chair: Victor Cuevas, University of New Mexico and UC
Davis, USA
--
Jun Zhao, PhD
EPSRC Postdoctoral Fellow
Department of Zoology
University of Oxford
Tinbergen Building, South Parks Road
Oxford, OX1 3PS, UK
