The Interactive Knowledge Capture Project at ISI


Home Page of the Interactive Knowledge Capture Research Group

Description

Our research covers various aspects of user-centered knowledge-rich environments for distributed problem solving. We work on a variety of applications, including scientific workflows and grid computing, intelligent assistants for office tasks, and a variety of defense-related topics.

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Status

We have a collaboration with the Science Museum of Minnesota to gather knowledge from visitors and use it to address AI tasks.
Visit our new Demo Gallery to see short demos of our work
We just demonstrated new results in planning workflows for the grid.

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Research

Our research topics include knowledge capture, knowledge bases and ontologies, intelligent user interfaces, semantic web, grid computing, dialogue planning, natural language understanding, planning and decision aids, problem solving methods and process modeling, workflow composition, trust and access policies, multi-agent systems, and service-based architectures.

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Publications

"Expressive Reusable Workflow Templates", Yolanda Gil, Paul Groth, Varun Ratnakar, Christian Fritz. In To appear in Proceedings of the Fifth IEEE International Conference on e-Science, 2009

"Workflow Matching Using Semantic Metadata", Yolanda Gil, Jihie Kim, Yolanda Gil, Gonzalo Florez, Varun Ratnakar, Pedro A. Gonzalez Calero. In Proceedings of the Fifth International Conference on Knowledge Capture (K-CAP), 2009

"From Data to Knowledge to Discoveries: Scientific Workflows and Artificial Intelligence", Yolanda Gil. In To appear in Scientific Programming, 2009

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National Science Foundation (NSF)
DARPA's Personalized Assistant that Learns (PAL)
Air Force Office of Scientific Research (AFOSR)