posted by user: ikuyamada || 3466 views || tracked by 7 users: [display]

WANDS 2010 : 1st International Workshop on Workflow Approaches for New Data-Centric Science

FacebookTwitterLinkedInGoogle

Link: http://wands2010.doc.ic.ac.uk
 
When Jun 6, 2010 - Jun 6, 2010
Where Indianapolis, IN, USA
Submission Deadline Mar 2, 2010
Notification Due Apr 30, 2010
Final Version Due May 28, 2010
Categories    databases   software
 

Call For Papers

WANDS 2010
1st International Workshop on Workflow Approaches for New Data-Centric Science
workshop site: http://wands2010.doc.ic.ac.uk
inquiries: wands10@easychair.org

Held in conjunction with SIGMOD 2010
Indianapolis, IN, USA
http://www.sigmod2010.org

-----
FOCUS
-----
The workshop aims at clarifying the role of workflow technology in accelerating science, by providing effective means to automate data management tasks on a large scale. Thus, it sits at the intersection between process management for scientific applications, and data management.
A number of innovative, but uncoordinated, efforts in data-centric workflows have made their mark on the scientific and business world in recent years. The goal of this workshop is to use these efforts to start bringing together a research community around the theoretical foundations, technology development, and domain applications of workflow systems in the context of large-scale data management for science.

In this spirit, we seek contributions from both researchers and practitioners on all aspects of data and process management that contribute towards this goal. More specifically, relevant topics include, but are not limited to, the following:

- Role of workfows in data analytics, mining and statistics
- Performance estimation and optimization of workflow execution
- Scalability of workflow-based solutions on very large data sets
- Role of metadata in static profiling of dataflows
- Impact of, and new requirements for, workflow technology on open science
- Workflow warehousing, indexing, searching, and mining
- Workflows for service orchestration
- Mapping workflows to cloud computing environments
- In-database workflow execution
- User interaction models for complex eScience: visibility vs. commoditization
- Workflow repurposing and reuse
- Privacy models for data-centric workflows
- Workflow semantics
- Workflows as invisible middleware
- Workflows in Service-oriented life sciences
- Component-based business intelligence
- Sensor data processing
- Data integration and provenance tracking in medical research

----------------
IMPORTANT DATES
----------------
* Paper submission deadline: 2nd March
* Author notification: 30th April
* Camera-ready Copy: 28th May
* Workshop: 6th June

---------------------------
FORMAT AND PAPER SUBMISSION
---------------------------
We seek full research and experience papers, at most no 15 pages long
in the LNCS style (http://www.springer.com/computer/lncs?SGWID=0-164-7-72376-0).

The workshop proceedings will be part of the SIGMOD DISC distribution. Additionally, we are working on arrangements with a publisher.

---------------------------
CHAIRS
---------------------------
Paolo Missier, University of Manchester, UK
Vasa Curcin, Imperial College London, UK
Susan Davidson, University of Pennsylvania, USA


---------------------------
Program Committee
---------------------------
Wil van der Aalst, University of Eindhoven, Netherlands
Loretta Auvil, University of Illinois, USA
Rajkumar Buyya, University of Melbourne, Australia
Jinjun Chen, Swinburne University of Technology, Australia
Sarah Cohen-Boulakia, Univ. Paris Sud, France
Mick Correl, Dana Farber Institute, USA
Juliana Freire, University of Utah, USA
Venkatesh Ganti, Microsoft Research, USA
Michael Gertz, University of Heidelberg, Germany
Moustafa Ghanem, Nile University, Cairo, Egypt
Fosca Giannotti, IST ? CNR, Italy
Carole Goble, University of Manchester, UK
Paul Groth, University of Amsterdam, Netherlands
Yike Guo, Imperial College London, UK
Jan Hidders, Technical University of Delft, Netherlands
Matt Jones, UCSB, USA
Shiyong Lu, Wayne State University, USA
Alex Michie, Erasmus Institute, Netherlands
Luc Moreau, University of Southampton, UK
Beth Plale, Indiana University, Bloomington, USA
Omer Rana, Cardiff University, UK
David De Roure, University of Southampton, UK
Anthony Rowe, IDBS Ltd, UK
Yogesh Simmhan, Microsoft Research, USA
Philippe Soares, Wyeth, France
Jacek Sroka, University of Warsaw, Poland
Vlado Stankovski, University of Ljubljana, Slovenia
Douglas Thain, University of Notre Dame, USA
Lizhe Wang, Rochester Institute of Technology, USA

Related Resources

IEEE DSIT 2024   2024 IEEE 7th International Conference on Data Science and Information Technology (DSIT 2024)
AIDD 2024   2nd International Conference on AI, Data Mining and Data Science
EI/Scopus-PRDM 2024   2024 5th International Conference on Pattern Recognition and Data Mining(PRDM 2024)
AMLDS 2025   2025 International Conference on Advanced Machine Learning and Data Science
Ei/Scopus-ACAI 2024   2024 7th International Conference on Algorithms, Computing and Artificial Intelligence(ACAI 2024)
DSML 2024   5th International Conference on Data Science and Machine Learning
AASDS 2024   Special Issue on Applications and Analysis of Statistics and Data Science
ANaNO 2024   International Conference on Advanced Nanoscience and Technology
DSIT 2024   7th International Conference on Data Science and Information Technology
SI AIMLDE 2024   SPECIAL ISSUE on Applied Artificial intelligence, Machine Learning, and Data Engineering