Knowledge Capture And Discovery
Knowledge Capture And Discovery
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Jihie Kim
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A Semantic Framework for Automatic Generation of Computational Workflows Using Distributed Data and Component Catalogs
Goal-Directed Meta-Control for Integrated Procedure Learning
Wings: Intelligent Workflow-Based Design of Computational Experiments
Parameterized Specification, Configuration, and Execution of Data-Intensive Scientific Workflows
Principles for Interactive Acquisition and Validation of Workflows
An Integrated Framework for Performance-Based Optimization of Scientific Workflows
Workflow Matching using Semantic Metadata
Designing and Parameterizing a Workflow for Optimization: A Case Study in Biomedical Imaging
Provenance Trails in the Wings/Pegasus Workflow System
Incorporating tutoring principles into interactive knowledge acquisition
Wings for Pegasus: Creating Large-Scale Scientific Applications Using Semantic Representations of Computational Workflows
Organizing Argumentation Statements to Support Intelligence Analysis
Semantic Metadata Generation for Large Scientific Workflows
Wings for Pegasus: A Semantic Approach to Creating Very Large Scientific Workflows
An intelligent assistant for interactive workflow composition
Proactive Acquisition from Tutoring and Learning Principles
Deriving Acquisition Principles from Tutoring Principles
Interactive Knowledge Acquisition Tools: A Tutoring Perspective
An integrated environment for knowledge acquisition
Knowledge Analysis on Process Models
User Studies of Knowledge Acquisition Tools: Methodology and Lessons Learned
Acquiring Problem-Solving Knowledge from End Users: Putting Interdependency Models to the Test
User studies of an interdependency-based interface for acquiring problem-solving knowledge
Deriving Expectations to Guide Knowledge Base Creation
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