Mechanical Product Concept Extraction Method

Article Preview

Abstract:

Extracting product concept is the foundation to establish the model of mechanical product knowledge representation based on ontology. User demand documentation contains a number of domain knowledge. In allusion to this characteristic, the paper, using improved domain concept acquisition method of domain relevance and domain consensus, acquires machine concepts from requirements book of mechanical design domain automatically, to set up a complete mechanical knowledge expression model. Experiment results show that this method has good effect.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1880-1885

Citation:

Online since:

May 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Ying Hang, Li Shanping: Research on ontology-based product knowledge S-B-F representation model. Computer Integrated Manufacturing Systems. Vol. 83 (2004), p.30.

Google Scholar

[2] WANG Zhaoxia, Information Extraction Method of Technical Solution from Mechanical Product Patent, JOURNAL OF MECHANICAL ENGINEERING. Vol. 45 (2009), p.198.

DOI: 10.3901/jme.2009.10.198

Google Scholar

[3] Roberto Navigli, Paola Velardi: Learning Domain Ontologies from Document Warehouses and Dedicated Web Sites.

DOI: 10.1162/089120104323093276

Google Scholar

[4] Velardi P, Missikoff M, Basili R. Identification of relevant terms to support the construction of domain ontologies, Proc. Of the Workshop on Human Language Technologies and Knowledge Management, (2001).

DOI: 10.3115/1118220.1118225

Google Scholar

[5] GU Qiaox iang: Modeling techniques for product data ontology based on meta data[j]. Journal o f Zhejiang Univ ersity ( Engineer ing Science). Vol. 41 (2007), p.736.

Google Scholar

[6] DU Bo, TIAN Huaifeng, WANG Li, LU Ruzhan. Design of Domain-specific Term Extractor Based on Multi-strategy. Computer Engineering. Vol. 31(2005), p.158.

Google Scholar

[7] Information on http: /zh. transwiki. org. cn.

Google Scholar