Paper Info
Title
RVO - The Research Variable Ontology.
Abstract
Enterprises today are presented with a plethora of data, tools and analytics techniques, but lack systems which help analysts to navigate these resources and identify best fitting solutions for their analytics problems. To support enterprise-level data analytics research, this paper presents Research Variable Ontology (RVO), an ontology designed to catalogue and explore essential data analytics design elements such as variables, analytics models and available data sources. RVO is specialised to support researchers with exploratory and predictive analytics problems, popularly practiced in economics and social science domains. We present the RVO design process, its schema, how it links and extends existing ontologies to provide a holistic view of analytics related knowledge and how data analysts at the enterprise level can use it. Capabilities of RVO are illustrated through a case study on House Price Prediction.
Year
DOI
Venue
2019
10.1007/978-3-030-21348-0_27
Lecture Notes in Computer Science
Keywords
Field
DocType
Data analytics,Semantic modeling,Research variables
Design elements and principles,Ontology (information science),Ontology,Data analysis,Information retrieval,Computer science,Predictive analytics,Analytics,Design process,Schema (psychology)
Conference
Volume
ISSN
Citations 
11503
0302-9743
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Madhushi Bandara101.35
Ali Behnaz201.35
Fethi A. Rabhi300.34