A qualitative feature-based characterization of 2D architectural style

Jupp, JR; Gero, JS

A qualitative feature-based characterization of 2D architectural style

Jupp, JR

Gero, JS

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Publication Type:: Journal Article
Citation:: Journal of the American Society for Information Science and Technology, 2006, 57 (11), pp. 1537 - 1550
Issue Date:: 2006-09-01

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Field	Value	Language
dc.contributor.author	Jupp, JR https://orcid.org/0000-0002-3774-261X	en_US
dc.contributor.author	Gero, JS	en_US
dc.date.issued	2006-09-01	en_US
dc.identifier.citation	Journal of the American Society for Information Science and Technology, 2006, 57 (11), pp. 1537 - 1550	en_US
dc.identifier.issn	1532-2882	en_US
dc.identifier.uri	http://hdl.handle.net/10453/17329
dc.description.abstract	Architectural plans are design diagrams that describe building layout where space is planned according to design requirements. Style in architecture is generally characterized as common features appearing in a particular class of building design. This research seeks to address how to recognize architectural design style from a 2D plan diagram. We explore this question in a computational encoder-analyzer (E-A) model for 2D plans, where a characterization of 2D style is based on qualitative spatial representation and information theoretic measures. In a preliminary study of a prominent architect's plans, we demonstrate the effectiveness of our approach. We conclude by discussing practical applications of automated plan recognition and classification in design support tools.	en_US
dc.relation.ispartof	Journal of the American Society for Information Science and Technology	en_US
dc.relation.isbasedon	10.1002/asi.20430	en_US
dc.subject.classification	Information & Library Sciences	en_US
dc.title	A qualitative feature-based characterization of 2D architectural style	en_US
dc.type	Journal Article
utslib.citation.volume	11	en_US
utslib.citation.volume	57	en_US
utslib.for	0807 Library and Information Studies	en_US
utslib.for	0804 Data Format	en_US
utslib.for	0806 Information Systems	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/e-Press
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Professional Practice and Leadership
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Systems, Management and Leadership
pubs.organisational-group	/University of Technology Sydney/Strength - CCDP - Contemporary Design Practice
utslib.copyright.status	closed_access
pubs.issue	11	en_US
pubs.publication-status	Published	en_US
pubs.volume	57	en_US

Abstract:

Architectural plans are design diagrams that describe building layout where space is planned according to design requirements. Style in architecture is generally characterized as common features appearing in a particular class of building design. This research seeks to address how to recognize architectural design style from a 2D plan diagram. We explore this question in a computational encoder-analyzer (E-A) model for 2D plans, where a characterization of 2D style is based on qualitative spatial representation and information theoretic measures. In a preliminary study of a prominent architect's plans, we demonstrate the effectiveness of our approach. We conclude by discussing practical applications of automated plan recognition and classification in design support tools.

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http://hdl.handle.net/10453/17329