Paper Title:
The Semantic Retrieval Model of Manufacturing Resource Based on Rules and Similarity
  Abstract

Based on the common similarity algorithm between ontology concepts, this paper makes use of semantic weighted distance and introduces such factors as node density, concept attribute and concept information content, and presents an improved semantic similarity algorithm to make the measuring semantic similarity more accurate. Combined the similarity algorithm with SWRL, this paper establishes a semantic retrieval model of manufacturing resource based on rules and similarity , which applies the rules of SWRL to carry on conditional matching in the ontology concepts of manufacturing resource in order to retrieve more eligible results.

  Info
Periodical
Edited by
Han Zhao
Pages
483-486
DOI
10.4028/www.scientific.net/AMM.130-134.483
Citation
J. Y. Wei, P. S. Zhong, "The Semantic Retrieval Model of Manufacturing Resource Based on Rules and Similarity", Applied Mechanics and Materials, Vols. 130-134, pp. 483-486, 2012
Online since
October 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Dong Wang, Shi Huan Xiong
Chapter 8: Nanomaterials and Nanomanufacturing
Abstract:The learning sequence is an important factor of affecting the study effect about incremental Bayesian classifier. Reasonable learning...
1455
Authors: Li Yan Jiang, Ya Ping Zhong, Qing Jian Wu
Chapter 5: Algorithm Design and Applications
Abstract:The sports injury is common in training, hindered the athletes to further improve the sports results. There are many factors in sports...
1545
Authors: Jian Qiang Wang, Long Yu, Yu Zhang
Chapter 4: Advanced Applications of Electrical Engineering Development
Abstract:Rapid detecting structural damage by lamb wave is an emerging technology in the field of structural health monitoring, and damage signal...
121
Authors: Su Xian Zhang, Dong Zhang, Su Xiang Zhang, Bing Zhen Zhao, Lin Yan Xie
Chapter 10: Communication, Networks and Information Technologies
Abstract:In this paper, a novel approach was proposed for the topic detection which combined the multi-models. We paid attention to the content...
866