EOM-NPOSESs: Emergency Ontology Model Based on Network Public Opinion Spread Elements

Guozhong Dong, Weizhe Zhang, Haowen Tan, Rahul Yadav, Shuaishuai Tan

    研究成果: ジャーナルへの寄稿学術誌査読

    1 被引用数 (Scopus)


    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.

    ジャーナルSecurity and Communication Networks
    出版ステータス出版済み - 2021

    !!!All Science Journal Classification (ASJC) codes

    • 情報システム
    • コンピュータ ネットワークおよび通信


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