Detail publikačního výsledku

Event-Driven Architecture for Health Event Detection from Multiple Sources

DENECKE, K.; KIRCHNER, G.; DOLOG, P.; SMRŽ, P.; LINGE, J.; BACKFRIED, G.; DREESMAN, J.

Originální název

Event-Driven Architecture for Health Event Detection from Multiple Sources

Anglický název

Event-Driven Architecture for Health Event Detection from Multiple Sources

Druh

Stať ve sborníku mimo WoS a Scopus

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.

Klíčová slova

Epidemic Intelligence, Text Mining, Disease Surveillance, Event driven
architecture

Klíčová slova v angličtině

Epidemic Intelligence, Text Mining, Disease Surveillance, Event driven
architecture

Autoři

DENECKE, K.; KIRCHNER, G.; DOLOG, P.; SMRŽ, P.; LINGE, J.; BACKFRIED, G.; DREESMAN, J.

Rok RIV

2012

Vydáno

31.08.2011

Nakladatel

IOS Press

Místo

Oslo

ISBN

978-1-60750-805-2

Kniha

Proceedings of the XXIII International Conference of the European Federation for Medical Informatics (MIE 2011)

Strany od

160

Strany do

164

Strany počet

5

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",
  booktitle="Proceedings of the XXIII International Conference of the European Federation for Medical Informatics (MIE 2011)",
  year="2011",
  pages="160--164",
  publisher="IOS Press",
  address="Oslo",
  isbn="978-1-60750-805-2"
}