Abstract
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.
Highlights
With the rapid development of the social economy and due to socialist modernization, various social emergencies continue to occur and develop
Traditional emergency ontology models [13,14,15,16,17,18,19,20] are based on the static emergency concept, which cannot fully describe the Security and Communication Networks semantic relationship between emergencies and network public opinion spread elements. ese emergency ontology models have significant shortcomings in knowledge fusion, knowledge reasoning, and knowledge questions and answers
The object, action, level, and emotional elements of an emergency were regarded as the subattributes of DataProperty. e lower emergency set in the ontology was associated with the corresponding upper emergency set with OWL: equivalentClass
Summary
With the rapid development of the social economy and due to socialist modernization, various social emergencies continue to occur and develop. Traditional emergency ontology models [13,14,15,16,17,18,19,20] are based on the static emergency concept, which cannot fully describe the Security and Communication Networks semantic relationship between emergencies and network public opinion spread elements. Integrating network public opinion spread elements into the emergency ontology model is of great significance in realizing knowledge sharing in the field of emergency and public opinion responses to emergencies. We analyzed the public opinion elements of emergencies and proposed an emergency ontology model based on network public opinion spread elements (EOM-NPOSESs). (1) Network public opinion spread elements were integrated to define and describe the emergency ontology model. An emergency response prototype system with reasoning rules was developed to verify the applicability of the EOM-NPOSESs
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