TY - GEN
T1 - Doctoral symposium
T2 - 11th ACM International Conference on Distributed Event-Based Systems, DEBS 2017
AU - Perry, Riley
AU - Bandara, Madhushi
AU - Kutay, Cat
AU - Rabhi, Fethi
PY - 2017/6/8
Y1 - 2017/6/8
N2 - 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.
AB - 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.
KW - Visualization
UR - http://www.scopus.com/inward/record.url?scp=85023182367&partnerID=8YFLogxK
U2 - 10.1145/3093742.3093901
DO - 10.1145/3093742.3093901
M3 - Conference Paper published in Proceedings
AN - SCOPUS:85023182367
VL - 1
T3 - DEBS 2017 - Proceedings of the 11th ACM International Conference on Distributed Event-Based Systems
SP - 351
EP - 354
BT - DEBS 2017 - Proceedings of the 11th ACM International Conference on Distributed Event-Based Systems
PB - Association for Computing Machinery, Inc
CY - New York
Y2 - 19 June 2017 through 23 June 2017
ER -