Answering typicality query based on automatically prototype construction

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

2 Scopus Citations
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Author(s)

  • Yi Cai
  • Hongke Zhao
  • Hao Han
  • Ho-Fung Leung
  • Huaqing Min

Related Research Unit(s)

Detail(s)

Original languageEnglish
Title of host publicationProceedings - 2012 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2012
Pages362-366
Publication statusPublished - 2012

Conference

Title2012 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2012
PlaceChina
CityMacau
Period4 - 7 December 2012

Abstract

In cognitive psychology, typicality refers to the degree of goodness of objects as exemplars in concepts. In this paper, we apply the idea of typicality analysis from cognitive psychology to query answering, and propose a novel method to answer typicality queries effectively based on theories in cognitive psychology. The proposed method adopts multi-prototype concept modeling and basic level category detection. By a systematic empirical evaluation using real data sets, we verify the accuracy and the effectiveness of our method on answering typicality queries. © 2012 IEEE.

Research Area(s)

  • Basic level category, Cognitive psychology, Multi-prototype, Typicality query

Citation Format(s)

Answering typicality query based on automatically prototype construction. / Cai, Yi; Zhao, Hongke; Han, Hao et al.
Proceedings - 2012 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2012. 2012. p. 362-366 6511909.

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review