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Issue title: Selected papers of KES2012 - Part 1 of 2
Guest editors: M. Graña, A.I. Gonzalez-Acuña and C. Zanni-Merk
Article type: Research Article
Authors: Briola, Danielaa; * | Caccia, Riccardob | Bozzano, Michelea | Locoro, Angelaa; *
Affiliations: [a] Department of Informatics, Bioengineering, Robotics and System Engineering, University of Genoa, Genova, Italy | [b] Ansaldo STS, a Finmeccanica Company, Genova, Italy | Computational Intelligence Group, University of the Basque Country, UPV/EHU, Spain
Correspondence: [*] Corresponding author: Daniela Briola, Department of Informatics, Bioengineering, Robotics and System Engineering, University of Genoa, Via Opera Pia, 13. 16145 Genova, Italy. Tel.: +39 010 4040449; E-mail: daniela.briola@unige.it. Angela Locoro, Department of Informatics, Bioengineering, Robotics and System Engineering, University of Genoa, Via Opera Pia, 13. 16145 Genova, Italy. Tel.: +39 010 353 6637; E-mail: angela.locoro@unige.it
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.
Keywords: Ontology, natural language processing, knowledge representation
DOI: 10.3233/KES-130262
Journal: International Journal of Knowledge-based and Intelligent Engineering Systems, vol. 17, no. 1, pp. 3-15, 2013
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