Paper Info
Title
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.
Year
DOI
Venue
2017
10.1080/0951192X.2014.1002812
Int. J. Computer Integrated Manufacturing
Keywords
DocType
Volume
owl s,service discovery
Journal
30
Issue
ISSN
Citations 
4-5
0951-192X
2
PageRank 
References 
Authors
0.39
3
4
Name
Order
Citations
PageRank
hejun jiao170.81
Jing Zhang28410.71
Junhuai Li33916.44
jinfa shi470.81