Doctoral symposium: Visualising complex event hierarchies using relevant domain ontologies

Perry, R; Bandara, M; Kutay, C; Rabhi, F

Doctoral symposium: Visualising complex event hierarchies using relevant domain ontologies

Perry, R Bandara, M Kutay, C

Rabhi, F

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Publication Type:: Conference Proceeding
Citation:: DEBS 2017 - Proceedings of the 11th ACM International Conference on Distributed Event-Based Systems, 2017, pp. 351 - 354
Issue Date:: 2017-06-08

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Field	Value	Language
dc.contributor.author	Perry, R	en_US
dc.contributor.author	Bandara, M	en_US
dc.contributor.author	Kutay, C https://orcid.org/0000-0002-6682-979X	en_US
dc.contributor.author	Rabhi, F	en_US
dc.date.issued	2017-06-08	en_US
dc.identifier.citation	DEBS 2017 - Proceedings of the 11th ACM International Conference on Distributed Event-Based Systems, 2017, pp. 351 - 354	en_US
dc.identifier.isbn	9781450350655	en_US
dc.identifier.uri	http://hdl.handle.net/10453/125908
dc.description.abstract	© 2017 Copyright held by the owner/author(s). 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.	en_US
dc.relation.ispartof	DEBS 2017 - Proceedings of the 11th ACM International Conference on Distributed Event-Based Systems	en_US
dc.relation.isbasedon	10.1145/3093742.3093901	en_US
dc.title	Doctoral symposium: Visualising complex event hierarchies using relevant domain ontologies	en_US
dc.type	Conference Proceeding
utslib.for	0806 Information Systems	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Professional Practice and Leadership
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US

Abstract:

© 2017 Copyright held by the owner/author(s). 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.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/125908