Paper Info
Title
Visual Analytics Ontology-Guided I-DE System: A Case Study of Head and Neck Cancer in Australia.
Abstract
Visual analytics is inherently multi-disciplinary in nature encompassing diverse concepts from a wide range of scientific disciplines. It is a cutting-edge technology for multi-dimensional data analysis. In this paper, we discuss the development of a Visual Analytic Ontology (VAO) that provides a standard, unified, machine-understandable representation of expert knowledge that can be used to create rules to aid in the visual analysis of data. Further, we describe the development of Intelligent Data Ecosystem (I-DE) that uses the VAO to visualize the analytic information. We exemplify the efficacy of I-DE using the head and neck cancer case study data from Australia.
Year
Venue
Field
2018
CIC
Data science,Ontology (information science),Ontology,Computer vision,Data visualization,Data analysis,Computer science,Visual analytics,Artificial intelligence
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
0
6
Name
Order
Citations
PageRank
Ahsan Morshed110211.75
Forkan, A.R.M.2191.72
Tejal Shah3183.58
Prem Prakash Jayaraman437844.66
Rajiv Ranjan5124.01
Dimitrios Georgakopoulos62554580.54