Tutorial at AAAI-08

Computational Workflows for Large-Scale AI Research

Yolanda Gil

Sunday July 13, 2008 -- 9am-1pm

Chicago, IL

More on AAAI-08 Tutorial Program

Detailed syllabus, readings, and slides are available in advance to registered attendees at a password-protected site. Please contact AAAI for a pointer.

Tutorial Description

The goal of this tutorial is twofold:

  1. to introduce computational workflows to AI researchers as a powerful paradigm they can use to manage large-scale experimentation
  2. to present interesting research problems for AI that arise in developing workflow systems.

The tutorial will begin with an introduction to the stages of design of workflows, and the capabilities of current workflow systems being used in a variety of scientific domains to specify and manage thousands of distributed computations. The introduction will include examples of computational workflows in several science applications that specify the analysis steps to be executed and the data flow among them. It will also describe how to design these steps as encapsulated software components so that the workflow system can automatically manage execution and tailor it to available computing resources.

The second part of the tutorial will present recent work on applying computational workflows to Artificial Intelligence as a scientific domain, in particular for large-scale integrative machine learning and for natural language processing.

The last part of the tutorial will introduce a variety of AI techniques that are relevant to current challenges in computational workflows, including dynamic self-configuration, interactive steering, continuous and robust operations, and performance optimization.



Speaker Bio

Dr Yolanda Gil is Associate Division Director at the Information Sciences Institute of the University of Southern California, and Research Associate Professor in the Computer Science Department. She received her M.S. and Ph. D. degrees in Computer Science from Carnegie Mellon University. Dr. Gil leads a group that conducts research on various aspects of Interactive Knowledge Capture. Her research interests include intelligent user interfaces, knowledge-rich problem solving, scientific and grid computing, and the semantic web. An area of recent interest is large-scale distributed data analysis through knowledge-rich computational workflows. Dr. Gil was Program Chair of the Intelligence User Interfaces (IUI) Conference in 2002, was co-founder and co-chair of the First International Conference on Knowledge Capture (K-CAP) in 2001, and was program co-chair of the International Semantic Web Conference (ISWC) in 2005. She was elected to the Council of the American Association of Artificial Intelligence (AAAI), and was program co-chair of the AAAI conference in 2006. She serves in the Advisory Committee of the Computer Science and Engineering Directorate of the National Science Foundation.

Last updated: June 8, 2008