Poster C84, Sunday, March 25, 1:00-3:00 pm, Exhibit Hall C
Defining Cognition: Automated Generation of Cognitive Ontology by Text-Mining Literature
Richard Gao1, Thomas Donoghue1, Bradley Voytek1; 1University of California, San Diego
A key goal of cognitive science is to understand and map the relationship between cognitive processes. Previous works have manually curated cognitive terms and relations, effectively creating an ontology, but do they reflect how cognitive scientists and neuroscientists study cognition in practice? We set out to investigate relations between cognitive processes in a data-driven way by text-mining and automated clustering to build a cognitive ontology, or atlas, from existing literature. In particular, we explore whether literature from the areas of cognitive science and neuroscience are consistent in their conceptions of cognitive processes, such as learning and memory, as defined by their position in the ontological structure, i.e., how they relate to other processes. We find automatically generated relationships to be missing in existing ontologies, and that cognitive science does not always conceptualize cognitive processes in the same way that neuroscience does. Thus, our work serves as an efficient hypothesis-generating mechanism, inferring relationships between cognitive processes that can be manually refined by experts. Furthermore, our results highlight the gap between theories of cognition and the study of their implementation in neuroscience.
Topic Area: METHODS: Other