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 (AFRL) at the Wright-Patterson air force base.
Personnel
PI: Amit Sheth
Students: Christopher Thomas, Wenbo Wang
Postdocs: Ramakanth Kavuluru, Priti Parikh
Project Architecture and Status
The project has four components
- An initial hierarchy of conceptions in the area of human performance and cognition is built by using our prior work on domain model extraction through Wikipedia . The model is approved by the experts at AFRL and forms the based of the ontology. This component provides the focus for the ontology and its usage.
- Natural language processing (NLP) based entity and relationship extraction is performed on PubMed abstracts to facilitate enhanced information extraction. Due to the complex nature of the entities and and inherent variations in the writing styles of authors of PubMed articles, this component is continually evolving although the initial set of results we have are already promising.
- Relationships between concepts in the hierarchy formed in component 1 are also found through pattern based approaches. The results in this component complement those obtained in component 2 and are currently being evaluated by experts at AFRL.
