a decomposition-based approach to owl dl ontology diagnosis

ISCAS OpenIR

	a decomposition-based approach to owl dl ontology diagnosis
	Du Jianfeng; Qi Guilin; Pan Jeff Z.; Shen Yi-Dong
	2011
会议名称	23rd IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2011
会议录名称	Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI
页码	659-664
会议日期	November 7
会议地点	Boca Raton, FL, United states
收录类别	EI
ISSN	1082-3409
ISBN	9780769545967
部门归属	(1) Guangdong University of Foreign Studies Guangzhou 510006 China; (2) State Key Laboratory of Computer Science Institute of Software Chinese Academy of Sciences Beijing China; (3) School of Computer Science and Engineering Southeast University NanJing 211189 China; (4) Department of Computing Science University of Aberdeen Aberdeen AB243UE United Kingdom
摘要	Computing all diagnoses of an inconsistent ontology is important in ontology-based applications. However, the number of diagnoses can be very large. It is impractical to enumerate all diagnoses before identifying the target one to render the ontology consistent. Hence, we propose to represent all diagnoses by multiple sets of partial diagnoses, where the total number of partial diagnoses can be small and the target diagnosis can be directly retrieved from these partial diagnoses. We also propose methods for computing the new representation of all diagnoses in an OWL DL ontology. Experimental results show that computing the new representation of all diagnoses is much easier than directly computing all diagnoses. © 2011 IEEE.; Computing all diagnoses of an inconsistent ontology is important in ontology-based applications. However, the number of diagnoses can be very large. It is impractical to enumerate all diagnoses before identifying the target one to render the ontology consistent. Hence, we propose to represent all diagnoses by multiple sets of partial diagnoses, where the total number of partial diagnoses can be small and the target diagnosis can be directly retrieved from these partial diagnoses. We also propose methods for computing the new representation of all diagnoses in an OWL DL ontology. Experimental results show that computing the new representation of all diagnoses is much easier than directly computing all diagnoses. © 2011 IEEE.
关键词	Artificial Intelligence Data Description Decomposition
主办者	IEEE; IEEE Computer Society; IEEE Computer Society Technical Committee on Multimedia Computing; Biological and Artificial Intelligence Society (BAIS); Florida Atlantic University (FAU)
语种	英语
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/16256
专题	中国科学院软件研究所
推荐引用方式 GB/T 7714	Du Jianfeng,Qi Guilin,Pan Jeff Z.,et al. a decomposition-based approach to owl dl ontology diagnosis[C],2011:659-664.