复杂产品设计知识的语义自动标注方法
Automatic semantic annotation method for complex product design-knowledge
查看参考文献15篇
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文摘
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针对复杂产品设计知识手工语义标注耗时长、准确率低、不能完整表达知识语义信息等问题，提出一种以语义空间为标注结果的知识语义自动标注方法。结合复杂产品设计领域知识的特点，提出领域本体的构建流程和多维度本体构建框架。在此基础上提出自动语义标注的实现流程，对知识预处理和本体解析、语义匹配以及语义空间生成和标注结果存储转换进行了深入研究。通过在某军用车辆知识管理系统中进行的试验证明，该方法不但能够提高设计知识语义标注的效率，而且可以充分准确地表达知识语义的内涵，提高语义检索的效率。 |
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其他语种文摘
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Aiming at the existing problems in semantic annotation of complex product design-knowledge, such as time-consuming, low accuracy and in complete expression of knowledge semantic information, an automatic semantic annotation method based on semantic space was proposed. In this method, the process of domain ontology construction and the framework of multi-dimensional ontology construction were proposed according to the characteristic of complex product design-knowledge. On this basis, the realization process of automatic semantic annotation was given. The knowledge preprocessing and ontology parser, semantic matching, semantic space generating and annotation result conversion were elaborated in detail. An experiment was performed in a prototype system of armored vehicle design-knowledge management, and the result showed that the proposed method could improve the efficiency of semantic annotation and semantic retrieval greatly. |
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来源
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计算机集成制造系统
,2014,20(1):69-78 【核心库】
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DOI
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10.13196/j.cims.2014.01.chensi.0069.10.2014019
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关键词
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语义标注
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语义空间
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领域本体
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产品设计
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知识管理
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地址
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1.
北京理工大学机械与车辆学院, 北京, 100081
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中国科学院国家空间科学中心, 北京, 100190
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语种
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中文 |
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文献类型
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研究性论文 |
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ISSN
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1006-5911 |
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学科
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自动化技术、计算机技术 |
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基金
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国防基础科研基金
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文献收藏号
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CSCD:5047948
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参考文献 共
15
共1页
|
|
1.
王国新. 面向复杂产品创新与快速设计的知识建模方法研究.
兵工学报,2009,30(S1):100-105
|
被引
3
次
|
|
|
|
|
2.
Berners-Lee T. The semantic Web.
Scientific American,2001,284(5):34-43
|
被引
314
次
|
|
|
|
|
3.
Dill S. A case for automated large-scale semantic annotation.
Journal of Web Semantics,2003,1(1):115-132
|
被引
6
次
|
|
|
|
|
4.
Handschuh S. Leveraging metadata creation for the Semantic Web with CREAM.
Proceedings of the Annual German Conference on AI,2003:19-33
|
被引
1
次
|
|
|
|
|
5.
Ferrucci D. Uima: an architectural approach to unstructured information processing in the corporate research environment.
Natural Language Engineering,2004,10(3/4):327-348
|
被引
5
次
|
|
|
|
|
6.
The University of Sheffield.
The GATE project Web site,2012
|
被引
1
次
|
|
|
|
|
7.
Thomson Reuters.
Calais Web site,2012
|
被引
1
次
|
|
|
|
|
8.
Ciraavegna F. Learning to harvest information for the semantic Web.
Proceedings of the 1st European Semantic Web Symposium,2004:312-326
|
被引
1
次
|
|
|
|
|
9.
Rajput Q. A comparison of ontology-based and reference-set-based semantic annotation frameworks.
Procedia Computer Science,2011,3:1535-1540
|
被引
1
次
|
|
|
|
|
10.
Jung J. Semantic annotation of cognitive map for knowledge sharing between heterogeneous businesses.
Expert Systems with Applications,2012,39(5):5857-5860
|
被引
2
次
|
|
|
|
|
11.
Uren V. Semantic annotation for knowledge management: requirements and a survey of the state of the art.
Web Semantics: Science, Services and Agents on the World Wide Web,2006,4(1):14-28
|
被引
4
次
|
|
|
|
|
12.
刁兴春. 一种融合多种编辑距离的字符串相似度计算方法.
计算机应用研究,2010,27(12):4523-4525
|
被引
19
次
|
|
|
|
|
13.
于海英. 字符串相似度度量中LCS和GST算法比较.
电子科技,2011,24(3):101-103,124
|
被引
3
次
|
|
|
|
|
14.
陈思. 基于业务本体的产品设计知识表示方法.
计算机集成制造系统,2011,17(4):673-678
|
被引
11
次
|
|
|
|
|
15.
Chen Si. Product-design knowledge retrieval based on ontology.
Journal of Beijing Institute of Technology,2011,20(3):379-386
|
被引
2
次
|
|
|
|
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