Answering typicality query based on automatically prototype construction

Yi Cai; Hongke Zhao; Hao Han; Raymond Y.K. Lau; Ho-Fung Leung; Huaqing Min

doi:10.1109/WI-IAT.2012.116

Answering typicality query based on automatically prototype construction

Yi Cai^*, Hongke Zhao^*, Hao Han^*, Raymond Y.K. Lau, Ho-Fung Leung, Huaqing Min

^*Corresponding author for this work

Department of Information Systems

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

2 Citations (Scopus)

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.

Original language	English
Title of host publication	Proceedings - 2012 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2012
Pages	362-366
DOIs	https://doi.org/10.1109/WI-IAT.2012.116
Publication status	Published - 2012
Event	2012 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2012 - Macau, China Duration: 4 Dec 2012 → 7 Dec 2012

Conference

Conference	2012 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2012
Place	China
City	Macau
Period	4/12/12 → 7/12/12

Research Keywords

Basic level category
Cognitive psychology
Multi-prototype
Typicality query

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10.1109/WI-IAT.2012.116

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@inproceedings{ea467d33eb984444ac7fa045d7168677,

title = "Answering typicality query based on automatically prototype construction",

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. {\textcopyright} 2012 IEEE.",

keywords = "Basic level category, Cognitive psychology, Multi-prototype, Typicality query",

author = "Yi Cai and Hongke Zhao and Hao Han and Lau, {Raymond Y.K.} and Ho-Fung Leung and Huaqing Min",

year = "2012",

doi = "10.1109/WI-IAT.2012.116",

language = "English",

isbn = "9780769548807",

pages = "362--366",

booktitle = "Proceedings - 2012 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2012",

note = "2012 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2012 ; Conference date: 04-12-2012 Through 07-12-2012",

}

Cai, Y, Zhao, H, Han, H, Lau, RYK, Leung, H-F & Min, H 2012, Answering typicality query based on automatically prototype construction. in Proceedings - 2012 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2012., 6511909, pp. 362-366, 2012 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2012, Macau, China, 4/12/12. https://doi.org/10.1109/WI-IAT.2012.116

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 Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Answering typicality query based on automatically prototype construction

AU - Cai, Yi

AU - Zhao, Hongke

AU - Han, Hao

AU - Lau, Raymond Y.K.

AU - Leung, Ho-Fung

AU - Min, Huaqing

PY - 2012

Y1 - 2012

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AB - 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.

KW - Basic level category

KW - Cognitive psychology

KW - Multi-prototype

KW - Typicality query

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M3 - RGC 32 - Refereed conference paper (with host publication)

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EP - 366

BT - Proceedings - 2012 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2012

T2 - 2012 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2012

Y2 - 4 December 2012 through 7 December 2012

ER -

Answering typicality query based on automatically prototype construction

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