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Cone-KG: A Semantic Knowledge Graph with News Content and Social Context for Studying Covid-19 News Articles on Social Media
2020
2020 Seventh International Conference on Social Networks Analysis, Management and Security (SNAMS)
Semantic knowledge graphs provide very significant benefits for structuring and analysing huge amounts of aggregated data across diverse heterogeneous sources. Beyond quick and efficient data query and analysis, they facilitate inference from data and generation of insights for several purposes. With the multi-faceted global challenges posed by the COVID-19 pandemic, this research focused on the use of a semantic knowledge graph to model, structure and store COVID-related news articles
doi:10.1109/snams52053.2020.9336541
fatcat:kpqbkibyxnfirj64sumii7j4em