Research on cloud manufacturing service discovery based on latent semantic preference about OWL-S

Abstract

According to the shortage of semantic model in the present service discovery, the method of service discovery about cloud manufacturing is proposed based on Ontology Web Language for Service (OWL-S), as well as service description. The semantic elements are introduced into service discovery problem, and the algorithm for semantic similarity measurement in ontology is improved. Then the service filtrate method from latent semantic analysis (LSA) is put forward. The basic attributes and quality attributes of Web services are also expressed in the tree-like structure. The effectiveness and feasibility of the proposed method is verified by an application case of cloud manufacturing.

Keywords:

• cloud manufacturing
• LSA
• OWL-S
• service discovery
• ontology similarity

Additional information

Funding

This work is partly supported by the National Natural Science Foundation of China [grant number 61172018] [grant number 71371172], Science and Technology Research Projects of Henan Province [grant number 142102210037], Science and Technology Plan Projects on Water Conservation of Shaanxi Province [grant number 2012-08], the Major Program of National Soft Science Research [grant number 2013GXS2B010] and the Scientific Research Projects of Key laboratory of Shaanxi Province [grant number 13JS084].