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Automated Generation of Cognitive Ontology via Web Text-Mining

Abstract

A key goal of cognitive science is to understand and map therelationship between cognitive processes. Previous workshave manually curated cognitive terms and relations,effectively creating an ontology, but do they reflect howcognitive scientists study cognition in practice? In addition,cognitive science should provide theories that informexperimentalists in neuroscience studying implementations ofcognition in the brain. But do neuroscientists and cognitivescientists study the same things? We set out to answer thesequestions in a data-driven way by text-mining and automatedclustering to build a cognitive ontology from existingliterature. We find automatically generated relationships to bemissing in existing ontologies, and that cognitive science doesnot always inform neuroscience. Thus, our work serves as anefficient hypothesis-generating mechanism, inferringrelationships between cognitive processes that can bemanually refined by experts. Furthermore, our resultshighlight the gap between theories of cognition and the studyof their implementation.

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