GDM 2012 - 3rd International Workshop on Graph Data Management: Techniques and Applications

The 3rd International Workshop on Graph Data Management:
Techniques and Applications (GDM 2012)

http://www.cse.unsw.edu.au/~iwgdm/2012/

In Conjunction with the IEEE International Conference on Data Engineering (ICDE 2012)
1 April, Washington DC, USA


Recently, there has been a lot of interest in the application of graphs in
different domains. They have been widely used for data modeling of different
application domains such as chemical compounds, multimedia databases, protein
networks, social networks and semantic web. With the continued emergence and
increase of massive and complex structural graph data, a graph database that
efficiently supports elementary data management mechanisms is crucially required
to effectively understand and utilize any collection of graphs. The overall goal
of the workshop is to bring people from different fields together, exchange
research ideas and results, and encourage discussion about how to provide
efficient graph data management techniques in different application domains and
to understand the research challenges of such area.

Topics of interest include, but are not limited to:

* Methods/Techniques for storing, indexing and querying graph data.
* Methods/Techniques for estimating the selectivity of graph queries.
* Methods/Techniques for graph mining.
* Methods/Techniques for compact (compressed) representation of graph data.
* Methods/Techniques for measuring graph similarity.
* Tools/Techniques for graph data management for social network applications.
* Tools/Techniques for graph data management of chemical compounds.
* Tools/Techniques for graph data management of protein networks.
* Tools/Techniques for graph data management of multimedia databases.
* Tools/Techniques for graph data management of semantic web data (RDF).
* Tools/Techniques for graph data management for spatio-temporal applications.
* Tools/Techniques for graph data management for Business Process Management applications.
* Tools/Techniques for visualizing, browsing, or navigating graph data
* Analysis/Proposals for graph query languages.
* Advanced applications and tools for managing graph databases in different domains.
* Benchmarking and testing of graph data management techniques.

PAPER SUBMISSION


Authors should submit papers reporting original works that are currently not under review or published elsewhere.
All submissions must be prepared in the IEEE camera-ready format. The workshop solicits both full papers and short papers (e.g. experience reports, preliminary reports of work in progress, etc).
Full papers should not exceed 8 pages in length. Short papers should not exceed 4 pages.

All papers should be submitted in PDF format using the Workshop online submission system at: https://cmt.research.microsoft.com/GDM2012/

All accepted papers will be published in the ICDE proceedings and will also become publicly available through the IEEE Xplore.

IMPORTANT DATES

* Paper submission deadline: October 1, 2011
* Author Notification: November 1, 2011
* Final Camera-ready Copy Deadline: November 08, 2011
* Workshop: April 1, 2012

Steering COMMITTEE

Phil Bernstein, Microsoft Research, USA
Christian S. Jensen, Aarhus University, Denmark
Xuemin Lin, University of New South Wales, Australia
Philip S. Yu, University of Illinois at Chicago, USA
Jeffrey Xu Yu, The Chinese University of Hong Kong, Hong Kong

WORKSHOP GENERAL CHAIR

* Haixun Wang, Microsoft Research Asia

WORKSHOP CO-CHAIRS

* Sameh Elnikety, Microsoft Research, USA
* Sherif Sakr, NICTA and University of New South Wales, Australia
* Lei Zou, Peking University, China

PROGRAM COMMITTEE

* Sourav S. Bhowmick, Nanyang Technological University, Singapore
* Stephane Bressan, National University of Singapore, Singapore
* Hong Cheng, The Chinese University of Hong Kong, Hong Kong
* Jiefeng Cheng, University of Hong Kong, Hong Kong
* Rosalba Giugno, University of Catania, Italy
* Chengfei Liu, Swinburne University of Technology, Australia
* Mohamed F. Mokbel, University of Minnesota, USA
* Maya Ramanath, Indian Institute of Technology, India
* Senjuti Basu Roy, Rutgers University, USA
* Nan Tang, University of Edinburgh, UK
* Yuanyuan Tian, IBM Almaden Research Center, USA
* Peter Wood, University of London, UK
* Shijie Zhang, Google Inc, USA
* Peixiang Zhao, University of Illinois at Urbana-Champaign, USA
* Shuigeng Zhou, Fudan University, China
* Feida Zhu, Singapore Management University , Singapore