Home | Knowledge Capture And Discovery (original) (raw)

We develop Artificial Intelligence (AI) approaches that use knowledge to accelerate and innovate scientific discovery processes that are unnecessarily carried out manually and inefficiently today.

Research Interests

Knowledge capture

Representing and acquiring knowledge to be used in AI systems

Semantic Workflows

Automated reasoning about characteristics of data and steps in computational experiments

Ontology Tools

Collaborative ontology development and sharing

Scientific Discovery

Efficient exploration of alternative methods to analyze data

Task-based collaboration

Collaborations that are driven by a shared scientific question

Provenance

Capturing the history of scientific research

Knowledge Networks

Interconnecting scientific knowledge in the Web

Reproducibility

Improving scientific publications

Machine Learning

Intelligent assistance for data analysis

Projects

Researchers

Yolanda Gil

Senior Director for Major Strategic AI and Data Science Initiatives

Research Engineers

Interns