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The Semantic Librarian: A search engine built from vector-space models of semantics
Harinder Aujla1, Matthew J C Crump2, Matthew T Cook3
1University of Winnipeg, Winnipeg, Manitoba, Canada. h.aujla@uwinnipeg.ca.
Cognitive psychology research is now searchable using computational models of human cognition. This new search engine helps find articles by understanding semantic relationships in psychological literature.
Area of Science:
- Cognitive Psychology
- Computational Linguistics
- Information Science
Background:
- Psychologists have developed formal, empirically validated models of human cognition.
- Existing methods for searching psychological literature may not fully capture semantic nuances.
Purpose of the Study:
- To introduce an academic search engine for cognitive psychology.
- To leverage computational semantics for improved information retrieval in psychology.
Main Methods:
- Utilizing vector-space models of semantics to represent cognitive concepts.
- Developing a search engine based on computational expressions of human cognition.
Main Results:
- The search engine can represent and retrieve articles based on semantic similarity.
- Demonstrates the application of psychological theory in interface design.
Conclusions:
- Computational semantics offer a powerful tool for organizing and accessing psychological research.
- This approach enhances the discoverability of cognitive psychology literature and informs intuitive interface design.
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