Title :
Visual Analytics in the web of data
Author :
AlShehhi, Maryam ; Leida, Marcello ; Hirsch, Benjamin ; Yoo, Paul D. ; Taha, Kamal
Author_Institution :
Etisalat BT Innovation Centre (EBTIC), United Arab Emirates
Abstract :
Nowadays the web is composed of huge, complex, and heterogeneous datasets. Making sense of this huge amount of data is challenging. Two emerging technologies developed to solve this issue namely, Linked Data, and Visual Analytics. Linked Data provides structured data over the web. Structured data are understandable by machines therefore smart queries, automated visualization, and linked between different datasets over the web might be possible. On the other hand, Visual Analytics amplify analyst cognitive ability by providing data analysis process enhanced with interactive visualization. In our project, we are aiming to integrate these two technologies to provide a powerful Visual Analytics System.
Keywords :
Internet; data analysis; data visualisation; distributed databases; query processing; World Wide Web; automated visualization; cognitive ability; data analysis process; heterogeneous datasets; interactive visualization; linked data; smart query; structured data; visual analytics; Data models; Data visualization; Electronic mail; Resource description framework; Semantics; Visual analytics; Vocabulary;
Conference_Titel :
Electronics, Circuits, and Systems (ICECS), 2013 IEEE 20th International Conference on
Conference_Location :
Abu Dhabi
DOI :
10.1109/ICECS.2013.6815363