approximating linear order inference in owl 2 dl by horn compilation

CORC > 软件研究所 > 软件所图书馆 > 会议论文

	approximating linear order inference in owl 2 dl by horn compilation
	Du Jianfeng ; Qi Guilin ; Pan Jeff Z. ; Shen Yi-Dong
	2012
会议名称	2012 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2012
会议日期	December 4, 2012 - December 7, 2012
会议地点	Macau, China
关键词	Data description Polynomial approximation
页码	97-104
中文摘要	In order to directly reason over inconsistent OWL 2 DL ontologies, this paper considers linear order inference which comes from propositional logic. Consequences of this inference in an inconsistent ontology are defined as consequences in a certain consistent sub-ontology. This paper proposes a novel framework for compiling an OWL 2 DL ontology to a Horn propositional program so that the intended consistent sub-ontology for linear order inference can be approximated from the compiled result in polynomial time. A tractable method is proposed to realize this framework. It guarantees that the compiled result has a polynomial size. Experimental results show that the proposed method computes the exact intended sub-ontology for almost all test cases, while it is significantly more efficient and scalable than state-of-the-art exact methods. © 2012 IEEE.
英文摘要	In order to directly reason over inconsistent OWL 2 DL ontologies, this paper considers linear order inference which comes from propositional logic. Consequences of this inference in an inconsistent ontology are defined as consequences in a certain consistent sub-ontology. This paper proposes a novel framework for compiling an OWL 2 DL ontology to a Horn propositional program so that the intended consistent sub-ontology for linear order inference can be approximated from the compiled result in polynomial time. A tractable method is proposed to realize this framework. It guarantees that the compiled result has a polynomial size. Experimental results show that the proposed method computes the exact intended sub-ontology for almost all test cases, while it is significantly more efficient and scalable than state-of-the-art exact methods. © 2012 IEEE.
收录类别	EI
会议主办者	IEEE
会议录	Proceedings - 2012 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2012
语种	英语
ISBN号	9780769548807
内容类型	会议论文
源URL	[http://ir.iscas.ac.cn/handle/311060/15949]
专题	软件研究所_软件所图书馆_会议论文
推荐引用方式 GB/T 7714	Du Jianfeng,Qi Guilin,Pan Jeff Z.,et al. approximating linear order inference in owl 2 dl by horn compilation[C]. 见:2012 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2012. Macau, China. December 4, 2012 - December 7, 2012.