Authors:
Marcello Leida
1
;
Du Xiaofeng
2
;
Paul Taylor
3
and
Basim Majeed
1
Affiliations:
1
Khalifa University, United Arab Emirates
;
2
University of Birmingham, United Kingdom
;
3
BT Innovate & Design, United Kingdom
Keyword(s):
Data visualization, Ontologies, RDF, SPARQL, Rules, Logic reasoning, Service monitoring.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Business Performance
;
Business-It Alignment
;
Collaboration and e-Services
;
Communication and Software Infrastructure
;
Complex Systems Modeling and Simulation
;
Data Engineering
;
e-Business
;
Enterprise Architecture
;
Enterprise Engineering
;
Enterprise Information Systems
;
Enterprise Ontologies
;
Formal Methods
;
Generic Platforms
;
Health Information Systems
;
Integration/Interoperability
;
Interoperability
;
Knowledge Management and Information Sharing
;
Knowledge-Based Systems
;
Ontologies
;
Ontologies and the Semantic Web
;
Sensor Networks
;
Simulation and Modeling
;
Software Agents and Internet Computing
;
Software and Architectures
;
Symbolic Systems
;
System Architectures
;
Technology Platforms
Abstract:
The problem of representing RDF data using charts, dashboards, maps and so on has become pressing, in particular to prove the value of the Semantic Web to enhance the analysis of business data. State of the art solutions focus on mapping query results to a specific chart type or view and then manually writing the procedure that creates the final dashboard, but whenever a different visualization model is required, the mapping process needs to be repeated. In this paper we propose a semi-automatic approach that generates various charts from SPARQL queries over data represented as RDF graphs, we introduce and describe the generic approach and present a use case scenario in the context of service monitoring.