Automated approaches are needed to quickly bring the most salient and reliable points to the readers’ attention. Managing this information stream manually is not feasible. Leveraging this stream of information is essential for developing policies, guidelines and strategies during the pandemic, for recovery after the COVID-19 pandemic, and for designing measures to prevent recurrence of similar threats. One of the effects of COVID-19 pandemic is a rapidly growing and changing stream of publications to inform clinicians, researchers, policy makers, and patients about the health, socio-economic, and cultural consequences of the pandemic. Title: Retrieving information, answering questions, and detecting misinformation about COVID-19 Herwin Alayn Huillcen Baca, Flor de Luz Palomino Valdivia, Yalmar Ponce Atencio, Manuel Ibarra Cabrera, Mario Aquino Cruz and Melvin Edward Huillcen Baca Claudio, Carlos Euzebio, Lucas Porto, Alexandre Martinez and Evandro RuizĬovidStream: Interactive Visualization of Emotions Evolution Associated with COVID-19
Graph theory applied to International Code of Diseases (ICD) in a hospitalīoldorini Jr. Tuja Khaund, Muhammad Nihal Hussain, Mainuddin Shaik and Nitin Agarwal Telegram: Data Collection, Opportunities and Challenges Session 1: Semantic Web and Social Networksĭistributed Identity Management for Semantic Entitiesįalko Schönteich, Andreas Kasten and Ansgar Scherp In this talk we will consider the nature of the problem and survey some recent (and not so recent) work that attempts to address it. However, creating and curating high quality knowledge is still a hard problem, and this could impede their adoption. Knowledge Graphs are increasingly important resources in science, medicine and industry, and systems for storing and querying Knowledge Graphs are becoming increasingly capable.
Title: Knowledge Graph Creation and Curation Diagnosis of SARS-CoV-2 based on patient symptoms and diffuse classifiersįray Luis Becerra Suarez, Herber Ivan Mejia Cabrera and Victor Alexci Tuesta Monteza