基于模糊本体的智能交通系统知识建模  

Knowledge modeling for intelligent transportation system based on fuzzy ontology models

作　　者：翟军[1] 陈燕[1] 沈立新[1] 

机构地区：[1]大连海事大学经济与管理学院,辽宁大连116026

出　　处：《大连海事大学学报》2008年第2期91-94,共4页Journal of Dalian Maritime University

基　　金：辽宁省教育厅科研计划资助项目(20060083)

摘　　要：为有效处理交通知识建模中的模糊与不确定现象,提出包括领域本体与顶层本体的模糊本体模型.在领域本体中引进模糊概念属性值,并将普通的概念关系扩展为模糊关系与直觉模糊关系.顶层本体基于模糊语言变量的形式化表示,考虑了模糊概念间的实质性语义关系:集合关系、序关系与等价关系.以交通事故分析与预测系统为例,建立交通知识本体模型与基于语义的信息检索系统.该模型可有效进行智能交通系统的知识建模,有利于语义Web环境下智能交通的信息管理与知识管理.A fuzzy ontology model including fuzzy domain ontology and fuzzy upper ontology was developed to handle fuzzy phenomenon and uncertainty of information and knowledge of intelligent transportation system （ITS） effectivdy. Fuzzy concepts were introduced as values of property in fuzzy domain ontology, and ordinary relationships were extended to fuzzy relationships and intuitionistic fuzzy rdationships. Fuzzy upper ontology focuses on the semantic relationships between fuzzy concepts, including set relations, order relations and equivalence relations. Taking the traffic accident analysis system for example, the paper built the transportation knowledge ontology model and information retrieval system. Results show that the model can do knowledge modeling of ITS effectively, which facilitates the information and knowledge management on the Semantic Web.

关 键 词：模糊本体 知识建模 智能交通系统 语义WEB 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]