Publications

@inproceedings{cossentinoSemanticLayerItalian2021,

title = {Towards a Semantic Layer for Italian Emergency Plans.},

author = { Massimo Cossentino and Salvatore Lopes and Luca Sabatucci and Mario Tripiciano},

year  = {2021},

date = {2021-01-01},

booktitle = {WOA},

pages = {144--161},

abstract = {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. textcopyright 2021 CEUR-WS. All rights reserved.},

keywords = {Domain knowledge, Emergency plans, Semantic layer, Text to formal conversion},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{cossentino_towards_2021,

title = {Towards a Semantic Layer for Italian Emergency Plans.},

author = {Massimo Cossentino and Salvatore Lopes and Luca Sabatucci and Mario Tripiciano},

url = {https://ceur-ws.org/Vol-2963/paper9.pdf},

year  = {2021},

date = {2021-01-01},

booktitle = {WOA},

pages = {144–161},

abstract = {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. © 2021 CEUR-WS. All rights reserved.},

keywords = {Domain knowledge, Emergency plans, Semantic layer, Text to formal conversion},

pubstate = {published},

tppubtype = {inproceedings}

}