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Home Page of the Interactive Knowledge Capture Research Group
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Description
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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
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Research
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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
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- Ten Simple Rules for the Care and Feeding of Scientific Data, Alyssa Goodman, Alberto Pepe, Alexander W. Blocker, Christine L. Borgman, Kyle Cranmer, Merce Crosas, Rosanne Di Stefano, Yolanda Gil, Paul Groth, Margaret Hedstrom, David W. Hogg, Vinay Kashyap, Ashish Mahabal, Aneta Siemiginowska, Aleksandra Slavkovic. To appear in PLOS Computational Biology, 2014
- "Human Tutorial Instruction in the Raw", Yolanda Gil. In ACM Transactions on Interactive Intelligent Systems, 2014
- Similarity Assessment and Efficient Retrieval of Semantic Workflows, Ralph Bergmann, Yolanda Gil. In Information Systems Journal, Vol. 40, 2014
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Demo
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People
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Group Members:
Alumni and Former Members:
Collaborators:
Student Interns:
- Angela Knight
- Cynthia Nava
- Emelie Knight
- Kevin Zhang
- Larry Zhang
- Molly Cinnamon
- Naveen Kothamasu
- Victoria Knight
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Funding
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- National Science Foundation (NSF)
- National Science Foundation (NSF)
- National Science Foundation (NSF)
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Links
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