The Semantic Librarian: A search engine built from vector-space models of semantics

Behav Res Methods. 2019 Dec;51(6):2405-2418. doi: 10.3758/s13428-019-01268-4.

Abstract

Psychologists have made substantial progress at developing empirically validated formal expressions of how people perceive, learn, remember, think, and know. In this article, we present an academic search engine for cognitive psychology that leverages computational expressions of human cognition (vector-space models of semantics) to represent and find articles in the psychological record. The method shows how psychological theory can be used to inform and aid the design of psychologically intuitive computer interfaces.

Keywords: BEAGLE; Cognitive computing; Computational linguistics; Document representation and retrieval; Search engine.

MeSH terms

  • Cognition*
  • Humans
  • Information Storage and Retrieval / methods*
  • Models, Psychological
  • Psychological Theory
  • Search Engine*
  • Semantics*