Please use this identifier to cite or link to this item: http://arl.liuc.it/dspace/handle/2468/6532
Title: Ontologica: exploiting ontologies and natural language for railway management: design, implementation and usage examples
Authors: Briola, Daniela
Caccia, Riccardo
Bozzano, Michele
Locoro, Angela
Issue Date: 2013
Publisher: IOS Press
Bibliographic citation: Briola Daniela, et al. (2013), Ontologica: exploiting ontologies and natural language for railway management: design, implementation and usage examples. In: International journal of knowledge-based and intelligent engineering systems, vol. 17, n. 1, 2013, p. 3–15. ISSN 1327-2314. E-ISSN 1875-8827. DOI 10.3233/KES-130262.
Abstract: This paper presents the "Ontologica" system, a forefront project born from a joint effort between the Department of Informatics, Bioengineering, Robotics and System Engineering of Genoa university and Ansaldo STS (from the same city) in the design of advanced information systems. The aim of the project is twofold: the adoption of ontologies to manage the Centralized Traffic Control (CTC) logics of a railway system; the improvement of the user interface through the exploitation of natural language queries. Being Ansaldo STS a leader in the railway and metro scope, this project aims to develop a system to be tested on a real and large dataset before being adopted in the railway stations using the CTC system. The first results we obtained are very promising and the system is currently under testing and improvement. In this paper we present the "Ontologica" rationale and architecture with some usage examples.
URI: http://arl.liuc.it/dspace/handle/2468/6532
Journal/Book: International journal of knowledge-based and intelligent engineering systems
ISSN: 1327-2314
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