A Temporal Qos Ontology For Ertms/Etcs
release_z72zcwcz3vedrfhssqpwmxivda
by
Marc Sango, Olimpia Hoinaru, Christophe Gransart, Laurence Duchien
2015
Abstract
Ontologies offer a means for representing and sharing<br>
information in many domains, particularly in complex domains. For<br>
example, it can be used for representing and sharing information<br>
of System Requirement Specification (SRS) of complex systems<br>
like the SRS of ERTMS/ETCS written in natural language. Since<br>
this system is a real-time and critical system, generic ontologies,<br>
such as OWL and generic ERTMS ontologies provide minimal<br>
support for modeling temporal information omnipresent in these SRS<br>
documents. To support the modeling of temporal information, one<br>
of the challenges is to enable representation of dynamic features<br>
evolving in time within a generic ontology with a minimal redesign<br>
of it. The separation of temporal information from other information<br>
can help to predict system runtime operation and to properly design<br>
and implement them. In addition, it is helpful to provide a reasoning<br>
and querying techniques to reason and query temporal information<br>
represented in the ontology in order to detect potential temporal<br>
inconsistencies. To address this challenge, we propose a lightweight<br>
3-layer temporal Quality of Service (QoS) ontology for representing,<br>
reasoning and querying over temporal and non-temporal information<br>
in a complex domain ontology. Representing QoS entities in separated<br>
layers can clarify the distinction between the non QoS entities<br>
and the QoS entities in an ontology. The upper generic layer of<br>
the proposed ontology provides an intuitive knowledge of domain<br>
components, specially ERTMS/ETCS components. The separation of<br>
the intermediate QoS layer from the lower QoS layer allows us to<br>
focus on specific QoS Characteristics, such as temporal or integrity<br>
characteristics. In this paper, we focus on temporal information that<br>
can be used to predict system runtime operation. To evaluate our<br>
approach, an example of the proposed domain ontology for handover<br>
operation, as well as a reasoning [...]
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