Study of ontology-based semantic matching of model function system

被引：0
|
作者：
Zhu Hong-Mei [1 ,2 ]
Liang Yong-Quan [1 ]
Lian Wen-Juar [1 ]
Tian Qi-jia [1 ]
Zhang Yong [1 ,3 ]
机构：
[1] Shandong Univ Sci & Technol, Coll Informat Sci & Engn, Qingdao 266510, Peoples R China
[2] Shandong Agr Univ, Coll Informat Sci & Engn, Qingdao 271000, Peoples R China
[3] Tai Shan Med Coll, Dept Automat Control, Tai An 271000, Shandong, Peoples R China
来源：
SNPD 2007: EIGHTH ACIS INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING, ARTIFICIAL INTELLIGENCE, NETWORKING, AND PARALLEL/DISTRIBUTED COMPUTING, VOL 1, PROCEEDINGS | 2007年
关键词：
D O I：
10.1109/SNPD.2007.247
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Semantic matching of the function of models is the foundation of implementing models automatic discovery and sharing in models management systems. Method of ontology-based model function's semantic matching system (OMFSMS) is proposed By this method, distributed stored models are implemented as Web services. Models' functionality and users' requirement are described by 09 L-S and registered to a model base. Decision ontology is exploited to represent the semantic of the decision modelsfunction. Based on the above, ontology-based matching mechanism is proposed, and its functionality and matching algorithm is described We also argue that to improve the requesting efficiency the idea of precalculation is carried out and the structure of model resource annotation base is analyzed At last, the conclusion is done of the system.
引用
收藏
页码：600 / +
页数：2
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