Detecting suspect answers in the presence of inconsistent information

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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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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