Visual Analytics in the web of data

Maryam Alshehhi, Marcello Leida, Benjamin Hirsch, Paul D. Yoo, Kamal Taha

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageBritish English
Title of host publication2013 IEEE 20th International Conference on Electronics, Circuits, and Systems, ICECS 2013
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages102-103
Number of pages2
ISBN (Print)9781479924523
DOIs
StatePublished - 2013
Event2013 IEEE 20th International Conference on Electronics, Circuits, and Systems, ICECS 2013 - Abu Dhabi, United Arab Emirates
Duration: 8 Dec 201311 Dec 2013

Publication series

NameProceedings of the IEEE International Conference on Electronics, Circuits, and Systems

Conference

Conference2013 IEEE 20th International Conference on Electronics, Circuits, and Systems, ICECS 2013
Country/TerritoryUnited Arab Emirates
CityAbu Dhabi
Period8/12/1311/12/13

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