Manufacturing Deep Web Service Management: Exploring Semantic Web Technologies

2012 ◽  
Vol 6 (2) ◽  
pp. 38-51 ◽  
Author(s):  
Zhang Wenyu ◽  
Yin Jianwei ◽  
Cai Ming ◽  
Wu Jian ◽  
Lin Lanfen
Keyword(s):  
Semantic Web ◽  
Web Service ◽  
Service Management ◽  
Deep Web ◽  
Semantic Web Technologies ◽  
Web Technologies

scholarly journals Improving Collaborations in the Neuroscientist Community

2011 ◽  
Vol 3 (1) ◽  
pp. 33-49 ◽  
Author(s):  
Isabelle Mirbel ◽  
Pierre Crescenzo
Keyword(s):  
Image Analysis ◽  
Web Services ◽  
Semantic Web ◽  
Web Service ◽  
Process Modeling ◽  
Point Of View ◽  
Semantic Web Service ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Expected Result

In this paper, the authors present an approach called SATIS (Semantically AnnotaTed Intentions for Services), relying on intentional process modeling and semantic web technologies and models, assists collaboration among the members of the neurosciences community. The main expected result of this work is to derive and share semantic web service specifications from a neuroscientist’s point of view to operationalise image analysis pipelines with web services.

scholarly journals Improving Collaborations in the Neuroscientist Community

2012 ◽  
pp. 33-49
Author(s):  
Isabelle Mirbel ◽  
Pierre Crescenzo
Keyword(s):  
Image Analysis ◽  
Web Services ◽  
Semantic Web ◽  
Web Service ◽  
Process Modeling ◽  
Point Of View ◽  
Semantic Web Service ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Expected Result

In this paper, the authors present an approach called SATIS (Semantically AnnotaTed Intentions for Services), relying on intentional process modeling and semantic web technologies and models, assists collaboration among the members of the neurosciences community. The main expected result of this work is to derive and share semantic web service specifications from a neuroscientist’s point of view to operationalise image analysis pipelines with web services.

Semantic Web Technologies for e-Learning: Models and Implementation

Informatica ◽  
2015 ◽  
Vol 26 (2) ◽  
pp. 221-240 ◽  
Author(s):  
Valentina Dagienė ◽  
Daina Gudonienė ◽  
Renata Burbaitė
Keyword(s):  
Semantic Web ◽  
Learning Models ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
E Learning

Applying Semantic Web Technologies to Drug Safety Determination

2006 ◽  
Vol 21 (1) ◽  
pp. 82-86 ◽  
Author(s):  
S. Stephens ◽  
A. Morales ◽  
M. Quinlan
Keyword(s):  
Semantic Web ◽  
Drug Safety ◽  
Semantic Web Technologies ◽  
Web Technologies
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