DocumentCode :
3739934
Title :
Research on Semantic++ Computing Based on Big Data Environment
Author :
Ye Liang;Guigang Zhang;Chunxiao Xing;Yong Zhang;Chao Li
Author_Institution :
Dept. of Comput. Sci. &
fYear :
2015
Firstpage :
126
Lastpage :
129
Abstract :
With the development of cloud computing and IoT, more and more data-intensive applications have come into being. It is very import to process the big data for these data-intensive applications. In this paper, we do some analysis about the basic concepts of big data and semantic++ computing. It includes the definition of big data, semantic computing and semantic++ computing. In this paper, we make a detail analysis about the semantic++ understanding based on big data. It mainly includes semantic++ storage of big data resources, semantic++ information acquirement of big data resources, semantic++ resources management, semantic++ processing of big data, semantic++ service of big data, semantic++ security and privacy of big data, semantic++ interface and applications based on big data. Two kinds of semantic++ applications are proposed. In this paper, a semantic++ search and recommendation system framework is analyzed. Finally, the simulation experiment shows that the semantic++ search and recommendation method is more efficient than the traditional method.
Keywords :
"Semantics","Big data","Security","Data privacy","Cloud computing","Ecosystems","Computational modeling"
Publisher :
ieee
Conference_Titel :
Web Information System and Application Conference (WISA), 2015 12th
Print_ISBN :
978-1-4673-9371-3
Type :
conf
DOI :
10.1109/WISA.2015.43
Filename :
7396621
Link To Document :
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