An ontology-based semantic retrieval approach for heterogeneous 3D CAD models

被引:46
作者
Qin, Feiwei [1 ]
Gao, Shuming [2 ]
Yang, Xiaoling [2 ]
Li, Ming [2 ]
Bai, Jing [3 ]
机构
[1] Hangzhou Dianzi Univ, Sch Comp Sci & Technol, Hangzhou, Zhejiang, Peoples R China
[2] Zhejiang Univ, State Key Lab CAD&CG, Hangzhou, Zhejiang, Peoples R China
[3] Beifang Univ Nationalities, Sch Comp Sci & Engn, Yinchuan, Peoples R China
基金
中国国家自然科学基金;
关键词
Model retrieval; Semantic-based retrieval; Heterogeneous; Ontology; MECHANICAL COMPONENTS; SIMILARITY; DATABASE; SYSTEM;
D O I
10.1016/j.aei.2016.10.001
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Many types of heterogeneous CAD models created by previous product development activities are stored in enterprise databases. Searching reusable CAD models for engineer design requirements is still very difficult. In this paper, we propose an ontology-based semantic retrieval approach for heterogeneous 3D CAD models by using semantic web theory and information retrieval theory. By exploiting layered feature ontology and ontology mapping, a uniform description for heterogeneous CAD models is generated as semantic descriptor. Meanwhile, to improve the representative ability, several heuristic rules are constructed with the aid of SWRL language and ontology reasoning is acted on the semantic descriptors, which makes our retrieval system achieve better performance. Furthermore, multi-mode similarity measurement is carried out to meet engineers' diversified requirements. We demonstrate the feasibility and effectiveness of our approach through experiments on heterogeneous 3D CAD model library. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:751 / 768
页数:18
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