一种基于O-RGPS领域建模框架的按需模型选择方法  

An On-Demand Model Selection Method Based on O-RGPS Domain Modeling Framework

作　　者：宁达[1] 彭蓉[1] 

机构地区：[1]武汉大学软件工程国家重点实验室,湖北武汉430072

出　　处：《武汉大学学报（理学版）》2009年第6期689-695,共7页Journal of Wuhan University:Natural Science Edition

基　　金：国家自然科学基金资助项目(60703009);国家重点基础研究发展计划(973)项目(2007CB310801);武汉市科技局晨光计划(200950431189)

摘　　要：在O-RGPS(Ontology annotated Domain Role/Goal/Process/Service Model Repository)领域建模框架的指导下,提出了一种支持按需模型选择的方法.该方法利用领域本体和领域模型之间的基于本体标注的语义关联,在语素相似度计算和目标相似度计算的基础上,提出了期望目标需求自动建模算法,达到按需模型选择的目的,通过一个城市交通领域实例验证了此方法的有效性.An on-demand model selection method is proposed based on （Ontology annotated Domain Role/Goal/Process/Service Model Repository） It can realize the automatic modeling of expected goal requirements by using t the guidance of on O-RGPS domain modeling framework. he ontology annotated semantic association between domain ontologies and domain models. It provides an automatic requirement modeling algorithm which utilizes grammatical element similarity calculation and goal similarity calculation to select the best suitable domain goal model. The effectiveness of this algorithm is demonstrated by a casestudy in urban transportation system in the end.

关 键 词：领域本体 领域模型 相似度计算 按需模型选择 

分 类 号：TP313.5[自动化与计算机技术—计算机软件与理论]