Paper Info
Title
Visualising complex event hierarchies using relevant domain ontologies: Doctoral Symposium.
Abstract
With the growth of data available for analysis, people in many sectors are looking for tools to assist them in collating and visualising patterns in that data. We have developed an event based visualisation system which provides an interactive interface for experts to filter and analyse data. We show that by thinking in terms of events, event hierarchies, and domain ontologies, that we can provide unique results that display patterns within the data being investigated. The proposed system uses a combination of Complex Event Processing (CEP) concepts and domain knowledge via RDF based ontologies. In this case we combine an event model and domain model based on the Financial Industry Business Ontology (FIBO) and conduct experiments on financial data. Our experiments show that, by thinking in terms of event hierarchies, and pre-existing domain ontologies, that certain new relationships between events are more easily discovered.
Year
DOI
Venue
2017
10.1145/3093742.3093901
DEBS
Field
DocType
Citations 
Data science,Ontology (information science),Domain knowledge,Computer science,Event model,Visualization,Complex event processing,Hierarchy,RDF,Domain model
Conference
0
PageRank 
References 
Authors
0.34
4
4
Name
Order
Citations
PageRank
Riley Perry100.34
Madhushi Bandara200.34
Cat Kutay3298.54
Fethi Rabhi442750.68