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Output details

11 - Computer Science and Informatics

University College London

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Output 26 of 261 in the submission
Article title

Analysing inconsistent first-order knowledgebases

Type
D - Journal article
Title of journal
Artificial Intelligence
Article number
-
Volume number
172
Issue number
-
First page of article
1064
ISSN of journal
0004-3702
Year of publication
2008
URL
-
Number of additional authors
1
Additional information

<22> This paper provides the first proposal for measuring inconsistency in first-order predicate logic. We provide theoretical tools that can determine the degree of inconsistency in sets of classical formulae with finite and infinite domains, and investigate applicability in handling inconsistency in relational data. Key definitions and results introduced in this paper have been used and extended by others (who have proposed further results, algorithms, and applications in description logic ontologies, database integrity, and software requirement specifications) for example, at Peking University, University of Maryland, CNRS, Vienna University of Technology and Queen’s University Belfast.

Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
17
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-