The Ph.D. Workshop on innovative database technogy is intended to bring together Ph.D. students working on topics related to the SIGMOD conference series. The workshop will offer Ph.D. students the opportunity to present, discuss, and receive feedback on their research in a constructive and international atmosphere.

The workshop will be accompanied by prominent professors and researchers in the fields of database technology. These accompanying professors will participate actively and contribute to the discussions.

The workshop is co-located with the SIGMOD2007 conference. The workshop language is English.

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As for the SIGMOD conferences series, all topics from the field of database technology are of interest for the Ph.D. Workshop. These topics include (but are not limited to):

Benchmarking and performance evaluation

Data quality, semantics and integration

Database monitoring and tuning

Data privacy and security

Data mining and OLAP

Embedded, sensor and mobile databases

Indexing, searching and database querying

Managing uncertain and imprecise information

Novel/ Advanced applications and systems

Peer-to-peer and networked data management

Personalized information systems

Query processing and optimization

Replication, caching, and publish-subscribe systems

Semi-structured data

Storage and transaction management

Web services

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Papers describing doctoral work should be submitted in PDF or PostScript format to xfmeng@ruc.edu.cn, yuge@ise.neu.edu.cn. The paper length should not exceed 6 pages, the format is according to ACM SIG proceedings template.

In contrast to regular conference papers, submissions should address specifically doctoral work! Therefore, the following elements are recommended:

A clear formulation of the research question.

An identification of the significant problems in the field of research.

An outline of the current knowledge of the problem domain, as well as the state of existing solutions.

A presentation of any preliminary ideas, the proposed approach and the results achieved so far

A sketch of the applied research methodology.

A description of the Ph.D. project's contribution to the problem solution.

A discussion of how the suggested solution is different, new, or better as compared to existing approaches to the problem.

The intention of this workshop is to support and inspire Ph.D. students during their ongoing research efforts. Therefore, it is necessary that authors will have neither achieved their Ph.D. degree nor submitted their thesis before the Ph.D workshop (June 12, 2006). To enforce this rule we require authors to disclose their expected graduation date and their advisor's name when submitting.

Accepted papers will be published in the workshop proceedings, which will appear on the SIGMOD DISC.

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Submission deadline: March 26, 2007 (EXTENDED)

Notification to authors: April 25, 2007 (EXTENDED)

Camera ready version: May 15, 2007 (EXTENDED)

Ph.D. Workshop: June 10, 2007

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Xiaofeng Meng, Renmin University of China, China

Ge Yu, Northeastern University, China

Yannis Ioannidis, National University of Athens, Greece

Tok Wang Ling, National University of Singapore, Singapore

Mike Stonebraker, MIT, USA

Jeffrey Ullman, Standford, USA

Kyu-Young Whang, KAIST,Korea

Longxiang Zhou, Institute of Mathematics, CAS, China

Paolo Atzeni, Universita di Roma Tre, Italy

Lei Chen, Hong Kong University of Science and Technology, China

Xiaoyong Du, Remin University, China

Ling Feng, Tsinghua University, China

Stephane Grumbach, The Sino-French IT Lab Institute of Automation, China

Ning Gu, Fudan University, China

Hiroyuki Kitagawa,University of Tsukuba, Japan

Masaru Kitsuregawa, University of Tokyo, Japan

Ramamohanarao Kotagiri,University of Melbourne, Australia

Dik Lee, Hong Kong University of Science and Technology, China

Chen Li, University of California at Irvine, USA

Jianzhong Li, Harbin University of Technology, China

Qing Li, City University of Hong Kong, China

Zhanhuai Li, Northwestern Polytechnic University, China

Xuemin Lin, University of New South Wales, Australia

Mengchi Liu, Carleton University, Canada

Weiyi Meng, Binghamton University, USA

Jian Pei, Simon Fraser University, Canada

Zhiyong Peng, Wuhan University, China

Philippe Pucheral, INRIA, France

Krithi Ramamritham, IIT, Bombay, India

Timos Sellis, National Technical University of Athens, Greece

Junyi Shen, Xi'an Jiaotong University, China

Kian-Lee Tan, National University of Singapore, Singapore

Katsumi Tanaka, Kyoto University, Japan

Changjie Tang, Sichuan University, China

Anthony Tung, National University of Singapore, Singapore

Daling Wang, Northeastern University, China

Guoren Wang, Northeastern University, China

Haixun Wang, IBM Research, USA

Sean X. Wang, University of Vermont, USA

Jirong Wen, Microsoft Research Asia, China

Yuqing Wu, Indiana University, USA

Jianliang Xu, Hong Kong Baptist University, China

Jian Yang, Macquarie University, Australia

Jun Yang, Duke University, USA

Clement Yu, University of Illinois at Chicago, USA

Jeffrey X. Yu, Chinese University of Hong Kong, China

Karine Zeitouni, PRiSM Laboratory, University of Versailles, France

Donghui Zhang, Northeastern University, USA

Yanchun Zhang, Victoria University, Australia

Aoying Zhou, Fudan University, China

Qiang Zhu, University of Michigan, USA

Hai Zhuge, Institute of Computing Technology, CAS, China

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