Towards a semantic layer for Italian emergency plans
| Autor: | Cossentino M., Lopes S., Sabatucci L., Tripiciano M. |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | 22nd edition of the Workshop "From Objects to Agents" (WOA 2021), pp. 144–161, Virtual (organized by Alma Mater Research Institute for Human-Centered Artificial Intelligence of the University of Bologna), 02-03/09/2021 info:cnr-pdr/source/autori:Cossentino M.; Lopes S.; Sabatucci L.; Tripiciano M./congresso_nome:22nd edition of the Workshop "From Objects to Agents" (WOA 2021)/congresso_luogo:Virtual (organized by Alma Mater Research Institute for Human-Centered Artificial Intelligence of the University of Bologna)/congresso_data:02-03%2F09%2F2021/anno:2021/pagina_da:144/pagina_a:161/intervallo_pagine:144–161 |
| Popis: | Emergency plans require a complex collaboration among multiple departments and roles. They are generally long textual documents containing practical instructions for hazard responses in natural language. This work focuses on converting informal documents to a more rigorous structured-text representation by taking advantage of well-known techniques from the literature. However, this task is costly, it requires technical skills and sound domain knowledge, and it is entirely subjective. To this aim, we propose a semantic layer that supports the formalization of an emergency plan by identifying essential elements of the input document and highlighting inconsistencies, redundancies, and ambiguities. |
| Databáze: | OpenAIRE |
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