Study on Method of Knowledge Acquisition and its Application in the Design of Vehicle Clutch

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Abstract:

Facing a great deal of materials and data in the process of design and manufacturing of clutch product, Quick and accurate knowledge extraction from the literature resources and web pages is a key to the design of vehicle clutch. The motheds of automatic knowledge acquisition based on literature and XML pages were proposed as well as specific algorithms and processes of knowledge extraction from documents and web pages were constructed.Techniques of knowledge element extraction, agent and ontology were applied to the intelligent type selection system.Practice tells that this intelligent type selection system can better assist intelligent type selection and design of vehicle clutch and knowledge management

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209-214

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January 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] Huimin Wang, Guihua Nie, Kui Fu. Distributed knowledge acquisition based on semantic grid[C]/ Proceedings of 2009 Asia-Pacific Conference on Information Processing. Shenzhen, China, (2009).

DOI: 10.1109/apcip.2009.104

Google Scholar

[2] Guofu Yin, Jing Gan, etc., Research on modern design theory and methods of mechanical products facing information age[J]. Journal of Sichuan University (Engineering Science) , 2006 , 38(5): 38-47.

Google Scholar

[3] HUI B, Yu E. Extracting conceptual relationships from specialized documents[J]. Data&Knowledge Engineering, 2005, (54): 29-55.

DOI: 10.1016/j.datak.2004.10.001

Google Scholar

[4] Wang Hai-Tao, Cao Cun-Gen, Gao Ying. Design and Implementation of a system for ontology mediated knowledge acquisition from semi-structured text. Chinese Journa1 of Computers, 2005, 28(12): 2010-2018(in Chinese).

Google Scholar

[5] MINSOO L, SU S Y W, HERM AN L. Event and rule services for achieving a Web-based knowledge network [J]. Knowledge-Based Systems, 2004, 17(5/6): 179-188.

DOI: 10.1016/j.knosys.2004.04.005

Google Scholar