Detecting suspect answers in the presence of inconsistent information

Pivert, O; Prade, H

Detecting suspect answers in the presence of inconsistent information

Pivert, O Prade, H

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Publication Type:: Conference Proceeding
Citation:: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2012, 7153 LNCS pp. 278 - 297
Issue Date:: 2012-03-15

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Field	Value	Language
dc.contributor.author	Pivert, O	en_US
dc.contributor.author	Prade, H https://orcid.org/0000-0003-4586-8527	en_US
dc.date.issued	2012-03-15	en_US
dc.identifier.citation	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2012, 7153 LNCS pp. 278 - 297	en_US
dc.identifier.isbn	9783642284717	en_US
dc.identifier.issn	0302-9743	en_US
dc.identifier.uri	http://hdl.handle.net/10453/32847
dc.description.abstract	In the presence of inconsistent information, two classical approaches consist in (i) cleaning the information by means of an automated process, for instance by performing a minimal set of updates aimed at restoring consistency, (ii) returning only the answers that are certain with respect to a given query, as in consistent query answering. In this paper, we propose an alternative approach, somewhat inspired by artificial intelligence works, which is aimed at warning the user about the presence of suspect answers in a query result. Roughly speaking, the idea is that such elements can be identified inasmuch as they can be found in the answers to contradictory queries. This idea may also be refined by introducing some gradedness in terms of cardinality or similarity. © 2012 Springer-Verlag.	en_US
dc.relation.ispartof	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en_US
dc.relation.isbasedon	10.1007/978-3-642-28472-4_16	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	Detecting suspect answers in the presence of inconsistent information	en_US
dc.type	Conference Proceeding
utslib.citation.volume	7153 LNCS	en_US
utslib.for	0802 Computation Theory and Mathematics	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 Software
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	7153 LNCS	en_US

Abstract:

In the presence of inconsistent information, two classical approaches consist in (i) cleaning the information by means of an automated process, for instance by performing a minimal set of updates aimed at restoring consistency, (ii) returning only the answers that are certain with respect to a given query, as in consistent query answering. In this paper, we propose an alternative approach, somewhat inspired by artificial intelligence works, which is aimed at warning the user about the presence of suspect answers in a query result. Roughly speaking, the idea is that such elements can be identified inasmuch as they can be found in the answers to contradictory queries. This idea may also be refined by introducing some gradedness in terms of cardinality or similarity. © 2012 Springer-Verlag.

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