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<p>Use of Semantic Web Technology to Combat the Covid-19 Pandemic</p> <p><b>New page</b></p><div>Use of Semantic Web Technology to Combat the Covid-19 Pandemic<br /> <br /> This presentation is a summary of a chapter I wrote with Biswanath Dutta to be published in a book on Semantic Web technology. We describe our survey of semantic web technology that was utilized to combat the Covid-19 pandemic. We focused on technology that utilized actual data and/or was utilized by actual users, mostly healthcare workers but in some cases the general public. The categories of applications were: <br /> <br /> Clinical Trials: Assisting researchers in finding and analyzing papers and data on clinical trials for Covid-19 and related drugs.<br /> <br /> Data Analysis: Various types of data analysis. E.g., for epidemiological data (CODO). <br /> <br /> Drug Repurposing: Identifying drugs that are currently used to treat other diseases and may help combat the Covid-19 virus. <br /> <br /> Harmonization: Integration of the many heterogenous healthcare models such as SNOMED CT, HL7 FYRE, LOINC, ICD,... <br /> <br /> Semantic Search: Searching tools for papers related to the pandemic based on knowledge graphs and semantics rather than just keywords. <br /> <br /> Statistics: Using Semantic technology to present statistics (e.g., number of people infected, deaths, length of illness) according to regions and time spans. <br /> <br /> Surveillance: Monitoring patients using Internet of Things (IoT) architectures in hospitals, nursing homes, and other facilities. <br /> <br /> Vocabularies: Providing vocabulary ontologies (e.g., of the Covid virus: CIDO) for use by other systems.</div>

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