• Medientyp: E-Artikel
  • Titel: Knowledge System Supporting ITS Deployment
  • Beteiligte: Přibyl, Pavel; Janota, Aleš; Spalek, Juraj; Faltus, Vladimír
  • Erschienen: MDPI AG, 2021
  • Erschienen in: Sustainability, 13 (2021) 11, Seite 6407
  • Sprache: Englisch
  • DOI: 10.3390/su13116407
  • ISSN: 2071-1050
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  • Anmerkungen:
  • Beschreibung: Intelligent transportation systems are one of the most rapidly evolving areas, requiring an appropriate response from standardization bodies and adequate support from EU regulations. This results in a high and ever-expanding volume of technical standards, which makes their practical use difficult and the harmonization process unsustainable. Therefore, standardization bodies are officially required to supply public information, based on which potential users can decide whether they need to buy or use a particular standard or not. The authors demonstrate how to solve this problem and achieve sustainability in terms of operating in a more intelligent and efficient manner. The proposed solution relies on the creation of standard extracts using a hybrid method that combines syntactic and semantic analysis and assumes human expert involvement. The paper presents the practical experience and results obtained from a long-term national project. A practical example is included so that the reader can comprehend a basic idea of the achieved results. The authors believe the proposed method can be adopted across other professional domains and other European countries.
  • Zugangsstatus: Freier Zugang