Linguistic and semantic layers for emergency plans-Reference-Cited by-同舟云学术

Linguistic and semantic layers for emergency plans

Published:2022-07-08 Issue:1 Volume:16 Page:7-25
ISSN:1724-8035
Container-title:Intelligenza Artificiale
language:
Short-container-title:IA

Author:

Cossentino Massimo¹^ORCID,Guastella Davide¹^ORCID,Lopes Salvatore¹^ORCID,Sabatucci Luca¹^ORCID,Tripiciano Mario¹^ORCID

Affiliation:

1. CNR (Italian National Research Council), ICAR, Palermo, Via Ugo La Malfa, 153

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.

Publisher

IOS Press

Subject

Artificial Intelligence

Reference39 articles.

1. Babitski G. , Probst F. , Hoffmann J. and Oberle D. , Ontology Design for Information Integration in Disaster Management, Informatik 2009–Im Focus das Leben, 2009.

2. Badra F. , Despres S. and Djedidi R. , Ontology and Lexicon: the Missing Link. In Proceedings of the Workshop “Ontology and Lexicon: new Insights", Workshop at TIA 2011, 2011.

3. A Metamodel and its Ontology to Guide Crisis Characterization and its Collaborative Management;Benaben;Proceedings of 5th International ISCRAM Conference on Ontologies for Crisis Characterization May 2008,2008

4. Betke H. and Seifert M. , BPMN for Disaster Response Processes, INFORMATIK 2017, 2017.

5. Buitelaar P. , Cimiano P. , Haase P. and Sintek M. , Towards Linguistically Grounded Ontologies. In European Semantic Web Conference, (2009), pp. 111–125. Springer.