[ESIP-all] BIGProv'13: International Workshop on Managing and Querying Provenance Data at Scale

Amber E Budden aebudden at dataone.unm.edu
Mon Oct 1 12:14:37 EDT 2012


Dear ESIP

The DataONE Provenance Working Group Co-Leads are organizing an
International Workshop on BIG Provenance.  I thought members of this
community might be interested.
It will be held on Mar 22nd in Genova, Italy in conjunction with EDBT/ICDT
2013: http://edbticdt2013.disi.unige.it/.
Important dates, description and submission information is below. Please
direct any questions to: bigprov13 at easychair.org

Best
Amber

*BIGProv'13: International Workshop on Managing and Querying
Provenance Data at Scale*http://sites.google.com/site/bigprov13/
inquiries: bigprov13 at easychair.org

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

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FOCUS
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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 (ludaesch at ucdavis.edu)
Paolo Missier, Newcastle University, UK (pmissier at acm.org)

Proceedings chair:  Victor Cuevas, University of New Mexico and UC Davis, USA



-- 
Amber E Budden, PhD
Director for Community Engagement and Outreach
DataONE
University of New Mexico
1312 Basehart SE
Albuquerque, NM 87106

Tel: 505-814-1112
Cell: 505-205-7675
Fax: 505-246-6007
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