With the advance of experimental technology, the number and the complexity of scientific workflows are growing dramatically. There is an increasing demand for technologies that effectively manage workflows in order to accelerate scientific discovery. In this project, we are developing techniques to handle both workflows that are well-designed before their execution, and the workflows whose designs are dynamically built during the execution, as typically found in scientific explorations. Our techniques address various aspects in workflow management.

• Workflow analysis and provenance reasoning.

• Workflow retrieval using keywords.

• Workflow optimization.

• Workflow modeling and storage.

Acknowledgements This work is supported in part by NSF grant IIS-0740129.

• Workflow Analysis and Provenance Reasoning

  Detecting and Resolving Unsound Workflow Views for Provenance Preservation. Peng Sun, Ziyang Liu, Susan B. Davidson and Yi Chen. In Proceedings of 28th ACM International Conference on Management of Data (SIGMOD), 2009. [slides]

  WOLVES: Achieving Correct Provenance Analysis by Detecting and Resolving Unsound Workflow Views. Peng Sun, Ziyang Liu, Sivaramakrishnan Natarajan, Susan B. Davidson and Yi Chen. In 35th International Conference on Very Large Data Bases (VLDB), 2009. (to appear)

• Workflow Retrieval using Keywords

  Wise: Intelligent and Efficient Keyword Search on Workflow Hierarchies. Qihong Shao, Ziyang Liu and Yi Chen. Submitted for Review.

  Wise: a Workflow Information Search Engine. Qihong Shao, Peng Sun, and Yi Chen. Submitted to The 25th International Conference on Data Engineering (ICDE), 2009. [slides]

  Identifying Meaningful Return Information for XML Keyword Search. Ziyang Liu and Yi Chen. In Proceedings of 26th ACM International Conference on Management of Data (SIGMOD), 2007.

  Query Biased Snippet Generation in XML Search. Yu Huang, Ziyang Liu and Yi Chen. In Proceedings of 27th ACM International Conference on Management of Data (SIGMOD), 2008.

  Reasoning and Identifying Relevant Matches for XML Keyword Search. Ziyang Liu and Yi Chen. In 34th International Conference on Very Large Data Bases (VLDB), 2008.

• Workflow Optimization

  Efficiently Discovering Critical Workflows in Scientific Explorations. Qihong Shao, Peng Sun, and Yi Chen. Future Generation Computer Systems (FGCS), 2008.

  Efficient Ticket Routing by Resolution Sequence Mining. Qihong Shao, Yi Chen, Shu Tao, Xifeng Yan, and Nikos Anerousis. In Proceedings of 14th ACM International Conference on Knowledge Discovery & Data Mining (SIGKDD), 2008. [slides]

• Workflow Modeling and Storage

  Modeling and Storing Scientific Protocols. Natalia Kwasnikowska, Yi Chen and Zoe Lacroix. In International Workshop on Knowledge Systems in Bioinformatics (KSinBIT’06), 2006.

  Storing and Discovering Critical Workflows from Log in Scientific Exploration. Qihong Shao, Michel Kinsy and Yi Chen. In IEEE SCW: International Conference on Services Computing - Workshops, 2007.

Faculty:

            Yi Chen < yi@asu.edu >

Students:

            Peng Sun < Peng.Sun@asu.edu >

            Ziyang Liu < Ziyang.Liu@asu.edu >

            Yu Huang < Yu.Huang.1@asu.edu >

            Qihong Shao < Qihong.Shao@asu.edu >

            Siva N < snatara5@asu.edu >

Alumni:

            Michel Kinsy < mkinsy@mit.edu> >