An ontology-driven adaptive manufacturing service matching algorithm

作者：Qi Feng^*; Zhang Wen yu

来源：International Journal of Digital Content Technology and Its Applications, 2012, 6(17): 446-454.

DOI：10.4156/jdcta.vol6.issue17.49

• Adaptive manufacturing
• Comprehensive analysis
• Conventional algorithms
• Impact factor
• Manufacturing service
• Matching algorithm
• Node density
• Ontology-driven
• Semantic distance
• Semantic similarity
• Service semantics
• Similarity algorithm

In order to improve the matching efficiency and accuracy of the manufacturing service, an ontology-driven adaptive manufacturing service matching algorithm has present. The matching algorithm has integrated and improved the conventional algorithm based on the semantic distance and information theory. The algorithm not only overcomes the problem that the information theory can not distinct the detailed semantic, but also makes the calculation of the semantic distance to a more rigorous. Through a comprehensive analysis of node depth and node density on the semantic similarity calculation, the two impact factors of node depth and node density are proposed to improve the service similarity algorithm. The experimental results show that the algorithm has a good agreement with the expertise of experts. The service semantic similarity has high practical value.

• 出版日期2012
• 单位浙江大学