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A framework for temporal data processing and abstractions.

Paolo Ciccarese1, Cristiana Larizza

  • 1Laboratory for Medical Informatics, University of Pavia, Italy.

AMIA ... Annual Symposium Proceedings. AMIA Symposium
|January 24, 2007
PubMed
Summary
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Tempo is a versatile framework for creating and running data processing components. It allows for reusable modules and custom extensions, adaptable as web services or software libraries for various applications.

Area of Science:

  • Computer Science
  • Software Engineering
  • Data Processing

Background:

  • Existing data processing frameworks often lack flexibility and reusability.
  • There is a need for a general-purpose framework that can be easily extended and integrated into different applications.

Purpose of the Study:

  • To introduce Tempo, a novel framework for defining, generating, and executing data processing components.
  • To demonstrate the flexibility and reusability of the Tempo framework through its architecture and plug-in mechanism.

Main Methods:

  • Tempo utilizes a pipeline architecture composed of modules adhering to contract-based communication rules.
  • The framework supports reusable data processing algorithms within a default package, extensible via a plug-in mechanism.
  • Tempo components can be deployed as web services or software libraries, configurable through parameters.

Related Experiment Videos

Main Results:

  • Tempo components have been successfully integrated and tested in a medical guidelines implementation tool.
  • The framework has also been tested as an embedded module for time series analysis in a general web application prototype.
  • Demonstrated successful extraction of temporal patterns from generic time series data.

Conclusions:

  • Tempo provides a general-purpose, flexible, and reusable framework for data processing component development.
  • Its architecture facilitates integration into diverse applications, including medical and general web contexts.
  • The plug-in mechanism allows for easy extension with custom data processing solutions.