Detail publikace

Event-Driven Architecture for Health Event Detection from Multiple Sources

Originální název

Event-Driven Architecture for Health Event Detection from Multiple Sources

Anglický název

Event-Driven Architecture for Health Event Detection from Multiple Sources

Jazyk

en

Originální abstrakt

Early detection of potential health threats is crucial for taking actions in time. It is unclear in which information source an event is reported first and, information from various sources can be complementing. Thus, it is important to search for information in a very broad range of sources. Furthermore, real-time processing is necessary to deal with the huge amounts of incoming data in time. Event-driven architectures are designed to address such challenges. This will be shown in this paper by presenting the architecture of a public health surveillance system that follows this style. Starting from concrete user requirements and scenarios, we introduce the architecture with its components for content collection, data analysis and integration. The system will allow for the monitoring of events in real-time as well as retrospectively.

Anglický abstrakt

Early detection of potential health threats is crucial for taking actions in time. It is unclear in which information source an event is reported first and, information from various sources can be complementing. Thus, it is important to search for information in a very broad range of sources. Furthermore, real-time processing is necessary to deal with the huge amounts of incoming data in time. Event-driven architectures are designed to address such challenges. This will be shown in this paper by presenting the architecture of a public health surveillance system that follows this style. Starting from concrete user requirements and scenarios, we introduce the architecture with its components for content collection, data analysis and integration. The system will allow for the monitoring of events in real-time as well as retrospectively.

BibTex


@inproceedings{BUT76355,
  author="Kerstin {Denecke} and Göran {Kirchner} and Peter {Dolog} and Pavel {Smrž} and Jens {Linge} and Gerhard {Backfried} and Johannes {Dreesman}",
  title="Event-Driven Architecture for Health Event Detection from Multiple Sources",
  annote="Early detection of potential health threats is crucial for taking actions in
time. It is unclear in which information source an event is reported first and,
information from various sources can be complementing. Thus, it is important to
search for information in a very broad range of sources. Furthermore, real-time
processing is necessary to deal with the huge amounts of incoming data in time.
Event-driven architectures are designed to address such challenges. This will be
shown in this paper by presenting the architecture of a public health
surveillance system that follows this style. Starting from concrete user
requirements and scenarios, we introduce the architecture with its components for
content collection, data analysis and integration. The system will allow for the
monitoring of events in real-time as well as retrospectively.",
  address="IOS Press",
  booktitle="Proceedings of the XXIII International Conference of the European Federation for Medical Informatics (MIE 2011)",
  chapter="76355",
  edition="NEUVEDEN",
  howpublished="print",
  institution="IOS Press",
  year="2011",
  month="august",
  pages="160--164",
  publisher="IOS Press",
  type="conference paper"
}