Doctoral symposium: Visualising complex event hierarchies using relevant domain ontologies

Riley Perry, Madhushi Bandara, Cat Kutay, Fethi Rabhi

Research output: Chapter in Book/Report/Conference proceedingConference Paper published in Proceedingspeer-review

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.

Original languageEnglish
Title of host publicationDEBS 2017 - Proceedings of the 11th ACM International Conference on Distributed Event-Based Systems
Place of PublicationNew York
PublisherAssociation for Computing Machinery, Inc
Pages351-354
Number of pages4
Volume1
ISBN (Electronic)9781450350655
DOIs
Publication statusPublished - 8 Jun 2017
Externally publishedYes
Event11th ACM International Conference on Distributed Event-Based Systems, DEBS 2017 - Barcelona, Spain
Duration: 19 Jun 201723 Jun 2017

Publication series

NameDEBS 2017 - Proceedings of the 11th ACM International Conference on Distributed Event-Based Systems

Conference

Conference11th ACM International Conference on Distributed Event-Based Systems, DEBS 2017
Country/TerritorySpain
CityBarcelona
Period19/06/1723/06/17

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