지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2013.8
- 수록면
- 666 - 673 (8page)
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초록· 키워드
오류제보하기
Most of new designs are generally based on previous design so that efficient CAD model retrieval is important issue. For the efficient retrieval, engineering document can be used as input query. There has been several research works related to CAD model retrievals. However, the approaches using engineering documents directly as input are limited.
In this paper, we propose the approach of automatic CAD model retrieval with engineering documents. For automatic retrieval, an engineering document with new design information is used as input query and the design information is matched with existing CAD models. In this procedure, semantic representation of new design information and existing CAD models are necessary. Thus, the semantic reference model of domain (SemREM) is firstly defined. Based on the SemREM, the semantic model of CAD model (SemCAD) and semantic model of document (SemDoc) are defined. Then, the semantic processing including ontology reasoning and similarity evaluation are applied to SemCAD and SemDoc. The case study shows the effectiveness of the approach
In this paper, we propose the approach of automatic CAD model retrieval with engineering documents. For automatic retrieval, an engineering document with new design information is used as input query and the design information is matched with existing CAD models. In this procedure, semantic representation of new design information and existing CAD models are necessary. Thus, the semantic reference model of domain (SemREM) is firstly defined. Based on the SemREM, the semantic model of CAD model (SemCAD) and semantic model of document (SemDoc) are defined. Then, the semantic processing including ontology reasoning and similarity evaluation are applied to SemCAD and SemDoc. The case study shows the effectiveness of the approach
목차
Abstract
1. Introduction
2. Overview of the Approach
3. Developing semantic reference model of domain
4. Semantic CAD Processing
5. Semantic Engineering Document Processing
6. Similarity Measurement
7. Case Study
8. Conclusion and Future Work
9. References
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UCI(KEPA) : I410-ECN-0101-2015-500-000938947