CACOnt:A Ontology-Based Model for Context Modeling and Reasoning

摘要：

　　In this paper,we present a general and extensible context-aware computing ontology (CACOnt) for modeling context and providing inference mechanisms.CACOnt provides not only the generic context ontologies for capturing basic concepts about context,but also the extensibility for adding domain-specific ontologies in a hierarchical manner.CACOnt facilitates the context reasoning capabilities by providing semantic logics which is possible to combine with rule-based systems.However,the set of roles cannot entirely cover the domain of contexts,we present a semantic similarity-based rule matching algorithm as the solution to this problem.

关键词： context modeling contract reasoning semantic similarity context-aware computing rule matching

作者: Nan Xu Weishi Zhang Huadong Yang Xiuguo Zhang Xing Xing

作者单位: School of Information Science and Technology Dalian Maritime University Dalian,China,116026

会议类型: 国际会议

会议名称: 2013 2nd International Conference on Computer Science and Electronics Engineering(ICCSEE2013)(2013年第二届计算机科学与电子工程国际会议)

会议地点: 杭州

会议语种:英文

页码: 2606-2610

在线出版日期: 2013-03-22（万方平台首次上网日期，不代表论文的发表时间）