Towards a Social and Semantic Web Platform for Sharing Endogenous Knowledge to Adapt to Climate Change

Author(s):  
Halguieta TRAWINA ◽  
Sadouanouan MALO ◽  
Ibrahima DIOP ◽  
Yaya TRAORE
Author(s):  
André Freitas ◽  
Kartik Asooja ◽  
Swapnil Soni ◽  
Marggie Jones ◽  
Panagiotis Hasapis ◽  
...  

Author(s):  
Xiaoyong Du ◽  
He Hu ◽  
Man Li ◽  
Wenjuan Wu ◽  
Guo Qin
Keyword(s):  

Author(s):  
Jianjun Xu ◽  
Qian Zhu ◽  
Juanzi Li ◽  
Po Zhang ◽  
Kehong Wang
Keyword(s):  

Author(s):  
Assia Alexandrova ◽  
Borislav Iordanov ◽  
Syed Abbas ◽  
Phani Upadrasta ◽  
Michael Sarasti ◽  
...  

A Citizen Relationship Management (OpenCiRM) system was built on a semantic web platform using model-driven development principles, to provide a government call center with operational agility and improved technical integration options. Business domain experts from municipal agencies administered the system by directly manipulating its ontology model. This paper highlights the new ontology engineering tasks and user roles that may emerge in organizations implementing the OpenCiRM system.


2013 ◽  
Vol 46 (6) ◽  
pp. 985-997 ◽  
Author(s):  
Delroy Cameron ◽  
Gary A. Smith ◽  
Raminta Daniulaityte ◽  
Amit P. Sheth ◽  
Drashti Dave ◽  
...  

2003 ◽  
Vol 42 (5) ◽  
pp. 557-577 ◽  
Author(s):  
R. Guha ◽  
Rob McCool
Keyword(s):  

Author(s):  
Assia Alexandrova ◽  
Borislav Iordanov ◽  
Syed Abbas ◽  
Phani Upadrasta ◽  
Michael Sarasti ◽  
...  

A Citizen Relationship Management (OpenCiRM) system was built on a semantic web platform using model-driven development principles, to provide a government call center with operational agility and improved technical integration options. Business domain experts from municipal agencies administered the system by directly manipulating its ontology model. This paper highlights the new ontology engineering tasks and user roles that may emerge in organizations implementing the OpenCiRM system.


2015 ◽  
Vol 7 (1) ◽  
Author(s):  
Arash Shaban-Nejad ◽  
Sonia Menon ◽  
David Buckeridge

The Vaccon Sentiment Ontology (VASON) provides knowledge on the factors driving vaccine refusal by analyzing content of online social media. VASON facilitates concept extraction and analysis of the extracted concepts using an Natural Language Processing (NLP) module.


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