Reasoning of Ontology-Based Context Awareness Services

• Main Authors: wen jay kuo, 郭文傑
• Other Authors: Sung-Shun Weng
• Format: Others
• Language: zh-TW
• Published: 2006
• Online Access: http://ndltd.ncl.edu.tw/handle/34130153409559043220

碩士 === 輔仁大學 === 資訊管理學系 === 94 === Following with the development and popularization of mobile devices and wireless communications, people can “anyone, anydevice, anytime and anywhere” catch information and services. A challenge is that the requirement of users for services is very dynamic and uncertain. “Context-Awareness” may be a solution for this problem. Context-Awareness techniques use sensors (for example, GPS, RFID, Camera, Monitor) to capture user context information and further understand context, and the system makes use of context it captures to provide appropriate services to users. This research attempts to find a well-defined context model. This context model can describe correlation of people and environment. Therefore, it uses ontology to describe the context. OWL (Web Ontology Language) is an ontology language that is supported by XML, RDF, and RDF Schema by providing additionitional vocabularies along with the formal Semantics. In this research, OWL is used to be the ontology language. The reasoning engine of Context-Awareness must consider the dynamics of context. Therefore, this research surveys the reasoning engines in related references of some expert systems, and uses case-based reasoning (CBR) to solve the problem. Using CBR for reasoning of Context-Awareness has two advantages: (1) CBR supports reasoning in various context, (2) CBR can self-adjust itself following with cases’ usage times to increase its precision of reasoning. This research compares results with location-based Context-Awareness systems. Results of experiments show that the reasoning engine of this research is better than those of location-based Context-Awareness systems.