REASONING WITH INCONSISTENT ONTOLOGIES THROUGH ARGUMENTATION

被引:28
作者
Alejandro Gomez, Sergio [1 ]
Ivan Chesnevar, Carlos [1 ,2 ]
Ricardo Simari, Guillermo [1 ]
机构
[1] Univ Nacl Sur, Dept Ciencias & Ingn Computac, Artificial Intelligence Res & Dev Lab, RA-8000 Bahia Blanca, Buenos Aires, Argentina
[2] Natl Council Sci & Tech Res, CONICET, Buenos Aires, DF, Argentina
关键词
DEFEASIBLE LOGIC; KNOWLEDGE DISTRIBUTION; SYSTEM; RULES; WEB;
D O I
10.1080/08839510903448692
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Standard approaches to reasoning with description logics (DL) ontologies require them to be consistent. However, as ontologies are complex entities and sometimes built upon other imported ontologies, inconsistencies can arise. In this article, we present delta-ontologies, a framework for reasoning with inconsistent DL ontologies. Our proposal involves expressing DL ontologies as defeasible logic programs (DeLP). Given a query posed w.r.t. an inconsistent ontology, a dialectical analysis will be performed on a DeLP program obtained from such an ontology, where all arguments in favor and against the final answer of the query will be taken into account. We also present an application to ontology integration based on the global-as-view approach.
引用
收藏
页码:102 / 148
页数:47
相关论文
共 70 条
[61]  
RICCA F, 2007, J APPL LOGIC, V5, P545
[62]   NONMONOTONIC INFERENCE RULES FOR MULTIPLE INHERITANCE WITH EXCEPTIONS [J].
SANDEWALL, E .
PROCEEDINGS OF THE IEEE, 1986, 74 (10) :1345-1353
[63]  
Sierra C, 2002, LECT NOTES ARTIF INT, V2403, P27
[64]   A MATHEMATICAL TREATMENT OF DEFEASIBLE REASONING AND ITS IMPLEMENTATION [J].
SIMARI, GR ;
LOUI, RP .
ARTIFICIAL INTELLIGENCE, 1992, 53 (2-3) :125-157
[65]  
Stolzenburg F., 2003, Journal of Applied Non-Classical Logics, V13, P87
[66]  
Terracina G, 2008, LECT NOTES COMPUT SC, V5341, P119, DOI 10.1007/978-3-540-88737-9_10
[67]  
VOLZ R, 2004, THESIS U FRIDERICIAN
[68]  
Wang H, 2005, LECT NOTES COMPUT SC, V3729, P745, DOI 10.1007/11574620_53
[69]   Harnessing ontologies for argument-based decision-making in breast cancer [J].
Williams, Matt ;
Hunter, Anthony .
19TH IEEE INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE, VOL II, PROCEEDINGS, 2007, :254-+
[70]   Frame-based argumentation for group decision task generation and identification [J].
Zhang, PZ ;
Sun, J ;
Chen, HC .
DECISION SUPPORT SYSTEMS, 2005, 39 (04) :643-659