FACETS: A cognitive business intelligence system

Niu, L; Lu, J; Zhang, G; Wu, D

FACETS: A cognitive business intelligence system

Niu, L Lu, J

Zhang, G

Wu, D

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Publication Type:: Journal Article
Citation:: Information Systems, 2013, 38 (6), pp. 835 - 862
Issue Date:: 2013-04-22

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Field	Value	Language
dc.contributor.author	Niu, L	en_US
dc.contributor.author	Lu, J https://orcid.org/0000-0003-0690-4732	en_US
dc.contributor.author	Zhang, G https://orcid.org/0000-0003-3960-0583	en_US
dc.contributor.author	Wu, D https://orcid.org/0000-0002-2499-5159	en_US
dc.date.issued	2013-04-22	en_US
dc.identifier.citation	Information Systems, 2013, 38 (6), pp. 835 - 862	en_US
dc.identifier.issn	0306-4379	en_US
dc.identifier.uri	http://hdl.handle.net/10453/23746
dc.description.abstract	A cognitive decision support system called FACETS was developed and evaluated based on the situation retrieval (SR) model. The aim of FACETS is to provide decision makers cognitive decision support in ill-structured decision situations. The design and development of FACETS includes novel concepts, models, algorithms and system architecture, such as ontology and experience representation, situation awareness parsing, data warehouse query construction and guided situation presentation. The experiments showed that FACETS is able to play a significant role in supporting ill-structured decision making through developing and enriching situation awareness. © 2013 Elsevier Ltd.	en_US
dc.relation	http://purl.org/au-research/grants/arc/DP0880739
dc.relation.ispartof	Information Systems	en_US
dc.relation.isbasedon	10.1016/j.is.2013.02.002	en_US
dc.subject.classification	Information Systems	en_US
dc.title	FACETS: A cognitive business intelligence system	en_US
dc.type	Journal Article
utslib.citation.volume	6	en_US
utslib.citation.volume	38	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/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	open_access
pubs.issue	6	en_US
pubs.publication-status	Published	en_US
pubs.volume	38	en_US

Abstract:

A cognitive decision support system called FACETS was developed and evaluated based on the situation retrieval (SR) model. The aim of FACETS is to provide decision makers cognitive decision support in ill-structured decision situations. The design and development of FACETS includes novel concepts, models, algorithms and system architecture, such as ontology and experience representation, situation awareness parsing, data warehouse query construction and guided situation presentation. The experiments showed that FACETS is able to play a significant role in supporting ill-structured decision making through developing and enriching situation awareness. © 2013 Elsevier Ltd.

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http://hdl.handle.net/10453/23746