A Temporal Qos Ontology For Ertms/Etcs release_z72zcwcz3vedrfhssqpwmxivda

by Marc Sango, Olimpia Hoinaru, Christophe Gransart, Laurence Duchien

Published by Zenodo.

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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Date   2015-01-19
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