approximating linear order inference in owl 2 dl by horn compilation
文献类型：会议论文
| 作者 | Du Jianfeng ; Qi Guilin ; Pan Jeff Z. ; Shen Yi-Dong |
| 出版日期 | 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 |
| 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. |
入库方式： OAI收割
来源：软件研究所
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