Ontology and rules based model for traffic query
This paper will combine ontology and rule based qualitative reason with real time calculation,designing a combined traffic model of national scope which contains highway,railroad,water carriage,scheduled flight etc.That method follows the sense of people to space,establishes ontologies and rules knowledge base,using concepts,instances,relations and rules of traffic field as the basic knowledge for qualitative reason to discover implicit semantic information and eliminate unnecessary ambiguities.The knowledge from the ontologies and rules provides abundant information for query which can lighten the burden of computation,in the mean time,real-time calculation guarantees the accuracy of the data,has raised accuracy and efficiency of the query,which has strengthened the ease of query service and improved web users experience.
ontology rules qualitative reason combined traffic
Gang Cheng Qingyun Du Qian Huang Haiyun Zhao
College of Automation,University of Electronic Science and Technology of China,No.4,Section 2,North School of Resources and environment Sciences,Wuhan University,129 Luoyu Road,Wuhan,China 430079 School of Resources and environment Sciences,Wuhan University,129 Luoyu Road,Wuhan,China 430079;Scho
国际会议
第16届国际地理信息科学与技术大会(16th International Conference on GeoInformatics and the Joint Conference)
广州
英文
2008-06-28（万方平台首次上网日期，不代表论文的发表时间）