Enhancing Situation Awareness Using Semantic Web Technologies and Complex Event Processing

Data fusion techniques combine raw data of multiple sources and collect associated data to achieve more specific inferences than what could be attained with a single source. Situational awareness is one of the levels of the JDL, a matured information fusion model. The aim of situational awareness is...

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Bibliographic Details
Published in:Annals of data science 2018-09, Vol.5 (3), p.487-496
Main Authors: Noughabi, Havva Alizadeh, Kahani, Mohsen, Shakibamanesh, Alireza
Format: Article
Language:English
Subjects:
Artificial Intelligence
Business and Management
Data integration
Data processing
Data transmission
Economics
Finance
Insurance
Management
Microprocessors
Semantic web
Semantics
Situational awareness
Statistics for Business
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Summary:Data fusion techniques combine raw data of multiple sources and collect associated data to achieve more specific inferences than what could be attained with a single source. Situational awareness is one of the levels of the JDL, a matured information fusion model. The aim of situational awareness is to understand the developing relationships of interests between entities within a specific time and space. The present research shows how semantic web technologies, i.e. ontology and semantic reasoner, can be used to describe situations and increase awareness of the situation. As the situation awareness level receives data streams from numerous distributed sources, it is necessary to manage data streams by applying data stream processor engines such as Esper. In addition, in this research, complex event processing, a technique for achieving related situational in real-time, has been used, whose main aim is to generate actionable abstractions from event streams, automatically. The proposed approach combines Complex Event Processing and semantic web technologies to achieve better situational awareness. To show the functionality of the proposed approach in practice, some simple examples are discussed.
ISSN:2198-5804
2198-5812
DOI:10.1007/s40745-018-0148-1