Linguistic and semantic layers for emergency plans

Issue title: Selected papers from the 22nd Workshop “From Objects to Agents” (WOA 2021)

Guest editors: Roberta Calegari, Giovanni Ciatto, Andrea Omicini and Giuseppe Vizzari

Article type: Research Article

Authors: Cossentino, Massimo^{; 1} | Guastella, Davide^{; 2} | Lopes, Salvatore^{; 3} | Sabatucci, Luca^{; *} | Tripiciano, Mario^{; 4}

Affiliations: CNR (Italian National Research Council), ICAR, Palermo, Via Ugo La Malfa, 153

Correspondence: [*] Corresponding author: Luca Sabatucci, CNR (Italian National Research Council), ICAR, Palermo, Via Ugo La Malfa, 153. E-mail: [email protected]; orcid=0000-0003-2852-9355.

Note: [1] orcid=0000-0003-1258-9767.

Note: [2] orcid=0000-0002-6865-1833.

Note: [3] orcid=0000-0003-1488-9755.

Note: [4] orcid=0000-0002-2285-4862.

Abstract: Plans for emergency response are complex collaborations in which actors take roles and responsibilities. They are generally long textual documents containing practical instructions, in natural language, for hazard responses. A more rigorous structured-text would be useful for a twofold audience. From one side, it can be useful for quickly understanding the plan and on the other side it can be used to improve the modelling phase and delivering an automatic emergency-support system. This paper proposes an approach, conceived for humans, for converting a free-form plan document into a structured version of the same document. The approach is based on a linguistic and semantic analysis that are strictly correlated and materialize in a metamodel. It contains the essential elements of an emergency plan, and it aids in interpreting the input document also reducing inconsistencies, redundancies, and ambiguities.

Keywords: Emergency plans, metamodel, free-form to structured text

DOI: 10.3233/IA-210122

Journal: Intelligenza Artificiale, vol. 16, no. 1, pp. 7-25, 2022