Answering typicality query based on automatically prototype construction
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Title of host publication | Proceedings - 2012 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2012 |
Pages | 362-366 |
Publication status | Published - 2012 |
Conference
Title | 2012 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2012 |
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Place | China |
City | Macau |
Period | 4 - 7 December 2012 |
Link(s)
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.
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 Works › RGC 32 - Refereed conference paper (with host publication) › peer-review