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Supporting Real-Time Monitoring in Criminal Investigations
Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0003-0036-6662
2015 (English)In: SEMANTIC WEB: ESWC 2015 SATELLITE EVENTS, SPRINGER INT PUBLISHING AG , 2015, Vol. 9341, 82-86 p.Conference paper (Refereed)Text
Abstract [en]

Being able to analyze information collected from streams of data, generated by different types of sensors, is becoming increasingly important in many domains. This paper presents an approach for creating a decoupled semantically enabled event processing system, which leverages existing Semantic Web technologies. By implementing the actor model, we show how we can create flexible and robust event processing systems, which can leverage different technologies in the same general workflow. We argue that in this context RSP systems can be viewed as generic systems for creating semantically enabled event processing agents. In the demonstration scenario we show how real-time monitoring can be used to support criminal intelligence analysis, and describe how the actor model can be leveraged further to support scalability.

Place, publisher, year, edition, pages
SPRINGER INT PUBLISHING AG , 2015. Vol. 9341, 82-86 p.
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 9341
Keyword [en]
Semantic event processing; Event processing; RDF stream processing; Actor model; Criminal intelligence
National Category
Embedded Systems
Identifiers
URN: urn:nbn:se:liu:diva-129183DOI: 10.1007/978-3-319-25639-9_16ISI: 000374570000016ISBN: 9783319256399ISBN: 9783319256382OAI: oai:DiVA.org:liu-129183DiVA: diva2:935986
Conference
12th European Semantic Web Conference (ESWC)
Available from: 2016-06-13 Created: 2016-06-13 Last updated: 2016-06-20

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Keskisärkkä, RobinBlomqvist, Eva
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