The GRADES Workshop co-located with SIGMOD/PODS 2013

The focus of this new workshop is to elicit discussion and description of application areas and open challenges in managing large-scale graph-shaped data.
Experiences including use-case descriptions, war stories and benchmarks as well as system descriptions are important ingredients of the meeting.


The workshop scope is graph data management techniques and systems. Apart from technical contributions in graph data management techniques, we specifically invite experiences of applying graph management techniques to real use cases, as well as descriptions of and experiences with systems, inclusive benchmarking. 

=== Organization ===

The workshop is co-chaired by Thomas Neumann (TUM) and Peter Boncz (CWI).

Program Committee:

* Anthony Tung (National University of Singapore)
* Francesco Bonchi (Yahoo! Labs)
* Irini Fundulaki (FORTH)
* Jignesh Patel (University of Wisconsin)
* Josep Lluis Larriba Pey (UPC)
* Norbert Martinez Bazan (Sparsity Technologies)
* Orri Erling (OpenLink Software)
* Peter Neubauer (NEO Technologies)
* Sameh Elnikety (Microsoft Research)

=== Application Areas ===

A new data economy is emerging, based on the analysis of distributed, heterogeneous, and complexly structured data sets. GRADES focuses on the problem of managing such data, specifically when data takes the form of graphs that connect many millions of nodes, and the worth of the data and its analysis is not only in the attribute values of these nodes, but in the way these nodes are connected. Specific application areas that exhibit the growing need for management of such graph shaped data include:

* life science analytics, e.g., tracking relationships between illnesses, genes, and molecular compounds.
* social network marketing, e.g., identifying influential speakers and trends propagating through a community.
* digital forensics, e.g., analyzing the relationships between persons and entities for law enforcement purposes.
* telecommunication network analysis, e.g., directed at fixing network bottlenecks and costing of network traffic.
* digital publishing, e.g., enriching entities occurring in digital content with external data sources, and finding relationships among the entities.

=== Topics Of Interest ===

The following is a non-exhaustive list describing the scope of GRADES:

* vision papers describing potential applications and benefits of graph data management.
* descriptions of graph data management use cases and query workloads.
* experiences with applying data management technologies in such situations.
* experiences or techniques for specific operations such as traversals or RDF reasoning.
* proposals for benchmarks for data integration tasks (instance matching and ETL techniques).
* proposals for benchmarks for RDF and graph database workloads.
* evaluation of benchmark performance results on RDF or graph database systems.
* system descriptions covering RDF or graph database technology.
* data and index structures that can be used in RDF and graph database systems.
* query processing and optimization algorithms for RDF and graph database systems.
* methods and technique for measuring graph characteristics.
* methods and techniques for visualizing graphs and graph query results.
* proposals and experiences with graph query languages.

The GRADES workshop is co-located and sponsored by SIGMOD in recognition that these problems are only interesting at large-scale and the contribution of the SIGMOD community to handle such topics on large amounts of data of many millions or even billions of nodes and edges is of critical importance.

=== Paper Submission Instructions ===

Authors are invited to submit original, unpublished research papers that are not being considered for publication in any other forum.

Manuscripts should be submitted electronically as PDF files and be formatted using the camera-ready templates. Papers cannot exceed six pages in length. Nevertheless, authors are allowed to include extra material beyond the six pages as a clearly marked appendix, which reviewers are not obliged to read but could read if they feel it is useful.

Accepted papers will be included in the informal proceedings to be distributed at the workshop, and will be available on the workshop's Web site. Additionally, the accepted papers will be published online in the ACM digital library. The papers must include the standard ACM copyright notice on the first page.

GRADES2013 will use the CMT system for the paper review and production process. A URL will be posted on the website ( a few weeks before the submission deadline.