Change search
ReferencesLink to record
Permanent link

Direct link
Modular Semantic CEP for Threat Detection
Jönköping University, School of Engineering, JTH, Computer and Electrical Engineering. Jönköping University, School of Engineering, JTH. Research area Information Engineering. (Information Engineering)
2012 (English)In: Operations Research and Data Mining ORADM 2012 workshop proceedings / [ed] Luis Villa-Vargas, Leonid Sheremetov, and Hans-Dietrich Haasis, Mexico City: National Polytechnic Institute , 2012Conference paper (Refereed)
Abstract [en]

This paper introduces a generic architecture for semantic complex event processing (CEP) over sensor data, as exemplified by a reference implementation system in development for the security and surveillance domain. The system gathers data from a number of sensor subsystems and classifies this data according to ontology-based situation models and rules. The output of the system is alerts about threat situations that supports human operators in deciding when and how to deploy security personnel to manage these threats. The novelty of the proposed approach lies in the use of modular ontology design patterns for system configuration, which enable non-technical users to rapidly configure the system for particular scenarios.

Place, publisher, year, edition, pages
Mexico City: National Polytechnic Institute , 2012.
Keyword [en]
Complex Event Processing, Knowledge Fusion, Semantic Web, Ontology Design Patterns
National Category
Computer and Information Science
URN: urn:nbn:se:hj:diva-17878ISBN: 978-607-414-284-6OAI: diva2:512242
Operations Research and Data Mining (ORADM) 2012
Available from: 2012-04-13 Created: 2012-03-27 Last updated: 2012-04-13Bibliographically approved

Open Access in DiVA

fulltext(569 kB)782 downloads
File information
File name FULLTEXT02.pdfFile size 569 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Hammar, Karl
By organisation
JTH, Computer and Electrical EngineeringJTH. Research area Information Engineering
Computer and Information Science

Search outside of DiVA

GoogleGoogle Scholar
Total: 782 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 376 hits
ReferencesLink to record
Permanent link

Direct link