| probabilistic multi-context systems | |
| Sotomayor Marco; Wang Kewen; Shen Yidong; Thornton John | |
| 2012 | |
| 会议名称 | Joint International Semantic Technology Conference, JIST 2011 |
| 会议录名称 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| 页码 | 366-375 |
| 会议日期 | December 4, 2011 - December 7, 2011 |
| 会议地点 | Hangzhou, China |
| 收录类别 | EI |
| ISSN | 0302-9743 |
| ISBN | 9783642299223 |
| 部门归属 | (1) Griffith University Australia; (2) Institute of Software Chinese Academy of Sciences China |
| 摘要 | The concept of contexts is widely used in artificial intelligence. Several recent attempts have been made to formalize multi-context systems (MCS) for ontology applications. However, these approaches are unable to handle probabilistic knowledge. This paper introduces a formal framework for representing and reasoning about uncertainty in multi-context systems (called p-MCS). Some important properties of p-MCS are presented and an algorithm for computing the semantics is developed. Examples are also used to demonstrate the suitability of p-MCS. © 2012 Springer-Verlag.; The concept of contexts is widely used in artificial intelligence. Several recent attempts have been made to formalize multi-context systems (MCS) for ontology applications. However, these approaches are unable to handle probabilistic knowledge. This paper introduces a formal framework for representing and reasoning about uncertainty in multi-context systems (called p-MCS). Some important properties of p-MCS are presented and an algorithm for computing the semantics is developed. Examples are also used to demonstrate the suitability of p-MCS. © 2012 Springer-Verlag. |
| 关键词 | Artificial Intelligence |
| 语种 | 英语 |
| 内容类型 | 会议论文 |
| URI标识 | http://ir.iscas.ac.cn/handle/311060/15701 |
| 专题 | 中国科学院软件研究所 |
| 推荐引用方式 GB/T 7714 | Sotomayor Marco,Wang Kewen,Shen Yidong,et al. probabilistic multi-context systems[C],2012:366-375. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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