Defeasible reasoning based argumentative Web-IDSS for Virtual Teams (VTs)

Janjua, NK; Hussain, FK

Defeasible reasoning based argumentative Web-IDSS for Virtual Teams (VTs)

Janjua, NK Hussain, FK

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Publication Type:: Conference Proceeding
Citation:: Proceedings - 2011 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2011, 2011, 3 pp. 330 - 334
Issue Date:: 2011-01-01

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Field	Value	Language
dc.contributor.author	Janjua, NK	en_US
dc.contributor.author	Hussain, FK https://orcid.org/0000-0003-1513-8072	en_US
dc.date.issued	2011-01-01	en_US
dc.identifier.citation	Proceedings - 2011 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2011, 2011, 3 pp. 330 - 334	en_US
dc.identifier.isbn	9780769545134	en_US
dc.identifier.uri	http://hdl.handle.net/10453/120456
dc.description.abstract	TheWeb-based intelligent decision support system (Web-IDSS) is pivotal for a Virtual Team (VT) to successfully execute business-related tasks. The current generation of Web-IDSS built on top of semantic web technologies for VTs lacks the capability to provide decision support when underlying information is incomplete and/or contradictory. In this article, we address this limitation of current Web-IDSS through defeasible logic based argumentation formalism. The proposed Web-IDSS uses a hybrid reasoning approach: forward chaining (data-driven) for the construction of arguments over incomplete information, and backward chaining (goal-driven) for conflict identification and resolution with explanation. The proposed Web-IDSS adheres to web standards and publishes the outcome of argumentative reasoning in Argument Interchange Format (AIF). © 2011 IEEE.	en_US
dc.relation.ispartof	Proceedings - 2011 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2011	en_US
dc.relation.isbasedon	10.1109/WI-IAT.2011.168	en_US
dc.title	Defeasible reasoning based argumentative Web-IDSS for Virtual Teams (VTs)	en_US
dc.type	Conference Proceeding
utslib.citation.volume	3	en_US
utslib.for	080301 Bioinformatics Software	en_US
utslib.for	080109 Pattern Recognition and Data Mining	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	closed_access
pubs.publication-status	Published	en_US
pubs.volume	3	en_US

Abstract:

TheWeb-based intelligent decision support system (Web-IDSS) is pivotal for a Virtual Team (VT) to successfully execute business-related tasks. The current generation of Web-IDSS built on top of semantic web technologies for VTs lacks the capability to provide decision support when underlying information is incomplete and/or contradictory. In this article, we address this limitation of current Web-IDSS through defeasible logic based argumentation formalism. The proposed Web-IDSS uses a hybrid reasoning approach: forward chaining (data-driven) for the construction of arguments over incomplete information, and backward chaining (goal-driven) for conflict identification and resolution with explanation. The proposed Web-IDSS adheres to web standards and publishes the outcome of argumentative reasoning in Argument Interchange Format (AIF). © 2011 IEEE.

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http://hdl.handle.net/10453/120456