Title :
Visualization of Resource Description Framework Ontology Using Hadoop
Author :
Seoung-hun Park ; Young-guk Ha
Author_Institution :
Dept. of Comput. Sci. & Eng., Konkuk Univ., Seoul, South Korea
Abstract :
Handling big data visualization using existing visualization method has problem. So we try to visualize the big data using the Hadoop to solve the problem. Our system consists of data server, visualization server and user devices. The data server is preprocessing to big data and the visualization server processes outputs of data server or transform the output into web format. The data server and the visualization server use the Hadoop. User devices have a web browser. User is provided visualization result by visualization server through the web browser. In this paper, we experiment to visualize that subclass is one of resource description framework schema.
Keywords :
Internet; data visualisation; online front-ends; ontologies (artificial intelligence); Hadoop; Web browser; Web format; big data preprocessing; big data visualization method; data server; resource description framework ontology; resource description framework schema; user devices; visualization server; Data handling; Data storage systems; Data visualization; Information management; Resource description framework; Servers; Web services; Big data visualization; Hadoop; Ontology visualization; RDFS visualization;
Conference_Titel :
Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), 2013 Seventh International Conference on
Conference_Location :
Taichung
DOI :
10.1109/IMIS.2013.46