Human Performance and Cognition Ontology

Introduction

The human performance and cognition ontology (HPCO) project involves extending our work in focused knowledge (entity-relationship) extraction from scientific literature, automatic taxonomy extraction from selected community authored content (eg Wikipedia), and semi-automatic ontology development with limited expert guidance. These will be combined to create an ontology engineering system that will allow domain experts to semi-automatically create ontologies through an iterative process resulting in a comprehensive human performance ontology. The final goal is to provide superior (both in quality and speed) search and retrieval over scientific literature for life scientists that will enable them to elicit valuable information in the area of human performance and cognition. The project is funded by the human effectiveness directorate of the air force research lab at the Wright-Patterson air force base.

Personnel

PI: Amit Sheth
Students: Christopher Thomas, Wenbo Wang
Postdocs: Ramakanth Kavuluru

Summary