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Visualising complex event hierarchies using relevant domain ontologies: Doctoral Symposium

Published: 08 June 2017 Publication History

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.

References

[1]
Kia Teymourian, Malte Rohde, and Adrian Paschke. 2012. Knowledge-based processing of complex stock market events. In Proceedings of the 15th International Conference on Extending Database Technology (EDBT '12), Elke Rundensteiner, Volker Markl, Ioana Manolescu, Sihem Amer-Yahia, Felix Naumann, and Ismail Ari (Eds.). ACM, New York, NY, USA, 594--597.
[2]
Kia Teymourian. Malte Rohde, and Adrian Paschke. 2011. Processing of Complex Stock Market Events Using Background Knowledge. RuleML 2011 America Fort Lauderdale, Florida, USA.
[3]
Sebastian Binnewies and Bela Stantic. 2012. OECEP: enriching complex event processing with domain knowledge from ontologies. In Proceedings of the Fifth Balkan Conference in Informatics (BCI '12). ACM, New York, NY, USA, 20--25.
[4]
Opher Etzion and Jeffrey M. Adkins. 2013. Tutorial: why is event-driven thinking different from traditional thinking about computing?. In Proceedings of the 7th ACM international conference on Distributed event-based systems (DEBS '13). ACM, New York, NY, USA, 269--270.
[5]
Perry R.T., Kutay C., Rabhi F. 2015. Using complex events to represent domain concepts in graphs. In: Kim K. (eds) Information Science and Applications. Lecture Notes in Electrical Engineering, vol 339. Springer, Berlin, Heidelberg
[6]
Tukey, John (1977), Exploratory Data Analysis, Addison-Wesley.

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        cover image ACM Conferences
        DEBS '17: Proceedings of the 11th ACM International Conference on Distributed and Event-based Systems
        June 2017
        393 pages
        ISBN:9781450350655
        DOI:10.1145/3093742
        Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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        New York, NY, United States

        Publication History

        Published: 08 June 2017

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        1. Visualization

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        DEBS '17 Paper Acceptance Rate 22 of 60 submissions, 37%;
        Overall Acceptance Rate 145 of 583 submissions, 25%

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