基于OWL本体和内嵌谓词SWRL的空军智慧航材订货模型  

Air Force Intelligent Air Materials Ordering Model Based on OWL Ontology and SWRL with Built-ins

作　　者：周家萱 徐常凯[1] 王振宇 ZHOU Jia-xuan;XU Chang-kai;WANG Zhen-yu(Department of Air Materials and Four Stations,Air Force Logistic College,Xuzhou 221000,China;55th Research Institute,China Electronics Technology Group Corporation,Nanjing 210000,China)

机构地区：[1]空军勤务学院航材四站系 [2]中国电子科技集团公司第五十五研究所

出　　处：《装甲兵工程学院学报》2018年第4期105-110,共6页Journal of Academy of Armored Force Engineering

摘　　要：针对目前航材订货中的人为修正经验可能因订货决策人员岗位变动而"失传"的问题,提出了利用本体论和内嵌谓词SWRL(Semantic Web Rule Language)构建航材订货的OWL(Ontology Web Language)本体和订货推理的SWRL规则,采用Protégé软件和Jess推理引擎实现了空军智慧航材订货系统的应用模型。该模型可以有效积累航材订货工作经验,协助航材订货人员进行订货决策,从而减少航材订货的学习成本,提高订货效率。Aiming at the problem that the artificial modification experience of the air materials ordering could be lost by the transfers of the order decision makers,this paper puts forward establishing OWL（Ontology Web Language） ontology and ordering SWRL（Semantic Web Rule Language） rules of air materials by Ontology and SWRL with built-ins,then uses Protégé software and Jess inference engine to achieve the application model of air force intelligent air materials ordering system. The model can effectively accumulate experiences of the air materials ordering and help the air materials ordering staff make order decision,thereby reducing the learning cost and improving efficiency for air materials ordering.

关 键 词：本体 内嵌谓词 SWRL 语义推理 智慧航材 订货 

分 类 号：E243[军事—军事理论] TP391.9[自动化与计算机技术—计算机应用技术]