Workshop on Graph Data Management

I just came across this workshop announcement that might prove useful for archaeologists/historians using graphs to visualise and explore their data. In fact, one of the major benefits of network-based approaches for our disciplines, I believe, is network visualisation. Relationships are rarely visualised explicitly, let alone complex ancient systems. There are a multitude of techniques available to visualise these relationships and to stress some aspects of them in particular. I believe this workshop is all about different computational techniques for graph visualisation. Network-based approaches in our disciplines can definitely benefit from the results of this workshop.
I’ve added the full call for papers here:
The 2nd International Workshop on Graph Data Management:
Techniques and Applications (GDM 2011)

In Conjunction with the
IEEE International Conference on Data Engineering
(ICDE 2011)
16 April, Hannover, Germany

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 geometrical 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.

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

* Paper submission deadline: November 01, 2010
* Author Notification: December 01, 2010
* Final Camera-ready Copy Deadline: January 01, 2011
* Workshop: April 16, 2011

* Jeffrey Xu Yu
The Chinese University of Hong Kong, Hong Kong

* Lei Chen
Hong Kong University of Science and Technology, Hong Kong
* Sherif Sakr
National ICT Australia (NICTA), Australia
School of Computer Science and Engineering, University of New South Wales, Australia
* Lei Zou
Institute of Computer Science & Technology, Peking University, China

* Sourav S. Bhowmick, Nanyang Technological University, Singapore
* Stephane Bressan, National University of Singapore, Singapore
* James Cheng, Nanyang Technological University, Singapore
* Jiefeng Cheng, University of Hong Kong, China
* Rosalba Giugno, University of Catania, Italy
* Claudio Gutierrez, Universidad de Chile, Chile
* Yiping Ke, Chinese University of Hong Kong, China
* Xuemin Lin, University of New South Wales, Australia
* Victor Muntes, Universitat Politecnica De Catalunya Barcelona Tech, Spain
* M. Tamer Ozsu, University of Waterloo, Canada
* Ambuj K Singh, University of California at Santa Barbara, USA
* Yuanyuan Tian, IBM Almaden Research Center, USA
* Haixun Wang, Microsoft Research Asia
* Yanghua Xiao, Fudan University, China
* Xifeng Yan, University of California at Santa Barbara, USA
* Shijie Zhang, Case Western Reserve University, USA
* Peixiang Zhao, University of Illinois at Urbana-Champaign, USA
* Xiaofang Zhou, University of Queensland, Australia

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