Towards an Ontology-Based Framework to Generate Diagnostic Decision Support Systems

  • Giuseppe Cicala
  • Marco Oreggia
  • Armando Tacchella
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8249)


The task of a Diagnostic Decision Support System (DDSS) is to deduce the health status of a physical system. We propose a framework to generate DDSS software based on formal descriptions of the application domain and the diagnostic rules. The key idea is to describe systems and related data with a domain ontology, and to describe diagnostic computations with an actor-based model. Implementation-specific code is automatically generated from such descriptions, while the structure of the DDSS is invariant across applications. Considering an artificial scalable domain related to the diagnosis of air conditioning systems, we present a preliminary experimental comparison between a hand-made DDSS, and one generated with a prototype of our framework.


Clinical Decision Support System Domain Ontology Rule Model Hybrid Automaton Rule Engine 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  • Giuseppe Cicala
    • 1
  • Marco Oreggia
    • 1
  • Armando Tacchella
    • 1
  1. 1.Dipartimento di Informatica, Bioingegneria, Robotica e Ingegneria dei Sistemi (DIBRIS)Università degli Studi di GenovaGenovaItalia

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