Trustworthiness of information sources and information pedigrees

Liu, W; Williams, MA

Trustworthiness of information sources and information pedigrees

Liu, W Williams, MA

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Publication Type:: Journal Article
Citation:: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2002, 2333 LNAI pp. 290 - 306
Issue Date:: 2002-01-01

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Field	Value	Language
dc.contributor.author	Liu, W	en_US
dc.contributor.author	Williams, MA https://orcid.org/0000-0002-1047-0503	en_US
dc.date.issued	2002-01-01	en_US
dc.identifier.citation	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2002, 2333 LNAI pp. 290 - 306	en_US
dc.identifier.isbn	9783540438588	en_US
dc.identifier.issn	0302-9743	en_US
dc.identifier.uri	http://hdl.handle.net/10453/10008
dc.description.abstract	To survive, and indeed thrive, in an open heterogenous information sharing environment, an agent's ability to evaluate the trustworthiness of other agents becomes crucial. In this paper, we investigate a procedure for evaluating an agent's trustworthiness as an information source. By separating the procedure into competency analysis and sincerity analysis, we are able to deal with complicated cases involving the passing-on of information, where the same information may reach a receiver agent via different routes. In order to keep information about the source agent we use an information pedigree as a means to maintain the history of communicated information. Our evaluation of trustworthiness can be employed to drive data fusion, weighted knowledge base merging, and multiple source conflict resolution. © Springer-Verlag Berlin Heidelberg 2002.	en_US
dc.relation	http://purl.org/au-research/grants/arc/DP0209539
dc.relation.ispartof	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	Trustworthiness of information sources and information pedigrees	en_US
dc.type	Journal Article
utslib.citation.volume	2333 LNAI	en_US
utslib.for	150302 Business Information Systems	en_US
dc.location.activity	ISI:000179912200021	en_US
dc.location.activity	Scottsdale, Arizona, U.S.A.
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	2333 LNAI	en_US

Abstract:

To survive, and indeed thrive, in an open heterogenous information sharing environment, an agent's ability to evaluate the trustworthiness of other agents becomes crucial. In this paper, we investigate a procedure for evaluating an agent's trustworthiness as an information source. By separating the procedure into competency analysis and sincerity analysis, we are able to deal with complicated cases involving the passing-on of information, where the same information may reach a receiver agent via different routes. In order to keep information about the source agent we use an information pedigree as a means to maintain the history of communicated information. Our evaluation of trustworthiness can be employed to drive data fusion, weighted knowledge base merging, and multiple source conflict resolution. © Springer-Verlag Berlin Heidelberg 2002.

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http://hdl.handle.net/10453/10008