TY - JOUR
T1 - EOM-NPOSESs
T2 - Emergency Ontology Model Based on Network Public Opinion Spread Elements
AU - Dong, Guozhong
AU - Zhang, Weizhe
AU - Tan, Haowen
AU - Yadav, Rahul
AU - Tan, Shuaishuai
N1 - Publisher Copyright:
© 2021 Guozhong Dong et al.
PY - 2021
Y1 - 2021
N2 - The construction of an emergency ontology model plays an important role in emergency management, which is an important basis for emergency public opinion management and decision-making. Integration of network public opinion spread elements into the emergency ontology model is crucial for realizing knowledge sharing in the field of emergency and public opinion responses. In this study, we crawl a large amount of emergency data from different data sources and construct an emergency dataset. Based on this dataset, we analyze the public opinion elements of emergencies and propose an emergency ontology model based on network public opinion spread elements (EOM-NPOSESs). Thereafter, we consider the coronavirus disease (COVID-19) emergency as an example to construct the EOM-NPOSESs. Finally, we design some strategies to realize rule reasoning and present the COVID-19 emergency application based on the constructed EOM-NPOSESs and the geographic information system platform. The results demonstrate that EOM-NPOSESs can not only describe the semantic relationship between emergencies and emergency elements but also perform semantic logical reasoning on different emergencies.
AB - The construction of an emergency ontology model plays an important role in emergency management, which is an important basis for emergency public opinion management and decision-making. Integration of network public opinion spread elements into the emergency ontology model is crucial for realizing knowledge sharing in the field of emergency and public opinion responses. In this study, we crawl a large amount of emergency data from different data sources and construct an emergency dataset. Based on this dataset, we analyze the public opinion elements of emergencies and propose an emergency ontology model based on network public opinion spread elements (EOM-NPOSESs). Thereafter, we consider the coronavirus disease (COVID-19) emergency as an example to construct the EOM-NPOSESs. Finally, we design some strategies to realize rule reasoning and present the COVID-19 emergency application based on the constructed EOM-NPOSESs and the geographic information system platform. The results demonstrate that EOM-NPOSESs can not only describe the semantic relationship between emergencies and emergency elements but also perform semantic logical reasoning on different emergencies.
UR - http://www.scopus.com/inward/record.url?scp=85108527178&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85108527178&partnerID=8YFLogxK
U2 - 10.1155/2021/9954957
DO - 10.1155/2021/9954957
M3 - Article
AN - SCOPUS:85108527178
VL - 2021
JO - Security and Communication Networks
JF - Security and Communication Networks
SN - 1939-0122
M1 - 9954957
ER -