A fine-grained approach to resolving unsatisfiable ontologies

被引:6
作者
Lam, Sik Chun Joey [1 ]
Pan, Jeff Z. [1 ]
Sleeman, Derek [1 ]
Vasconcelos, Wamberto [1 ]
机构
[1] Univ Aberdeen, Dept Comp Sci, Aberdeen AB24 3UE, Scotland
来源
2006 IEEE/WIC/ACM INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE, (WI 2006 MAIN CONFERENCE PROCEEDINGS) | 2006年
关键词
D O I
10.1109/WI.2006.11
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In the Semantic Web, inconsistencies in OWL ontologies may easily occur. Existing approaches either identify the minimally unsatisfiable sub-ontologies or calculate the maximally satisfiable sub-ontologies. However practical problems remain; it is not clear which axioms or which parts of axioms should be selected for repair, and how to repair those axioms. In this paper, we address this limitation by proposing a fine-grained approach to resolving unsatisfiable ontologies. We revise the axiom tracing technique first proposed by Baader and Hollunder, so as to track which parts of the problematic axioms cause the unsatisfiability. Moreover, we support ontology users in rewriting problematic axioms. In order to minimise the impact of changes and prevent unintended entailment loss, harmful and helpful changes are identified and provided as guidelines. Based on the methods described we present a preliminary version of an interactive debugging tool and demonstrate its applicability in practice.
引用
收藏
页码:428 / +
页数:2
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