By Topic

Semantic web service discovery algorithm and its application on the intelligent automotive manufacturing system

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Guo Wen-yue ; Dept of Electronics and Information Engineering, Liaoning Technical, University LiaoNing Huludao, China ; Qu Hai-cheng ; Chen Hong

In order to solve the existing problems of many automobile manufacturing enterprises, there are three aspects of this problem have to be addressed. Firstly, the paper briefly introduces the research status and existing problems of semantic web service discovery, then the Service Profile of Ontology Web Language for Services (OWL-S)specification is extended. and a semantic web service discovery algorithm based on OWL-S is proposed, which takes service category matching, service functionality matching and quality of service matching into account. Afterwards, an intelligent automotive manufacturing system based on the semantic web service integration is designed and implemented. Furthermore, the proposed algorithm is applied to the system, and both the feasibility and effectiveness are experimentally verified. In a word, the results indicate that the system can intelligently execute service requests, matching and call, which ensures the inter-enterprise manufacturing information can be exchanged and shared in knowledge level.

Published in:

Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on

Date of Conference:

16-18 April 2010