About QualityOnt

Overview

The COVID-19 pandemic has stopped social and economical activities today. The total cost of the recent pandemic is estimated by 16 trillion USD by only considering the US and aggregating mortality, morbidity, mental health conditions, and direct economic losses on the assumption of the pandemic is substantially ending in fall of 2021. Hence an extensive analysis of the COVID-19 outbreak and the global responses are essential for preparing humanity for such future situations. Since the early 2020, hundreds of studies have been carried out to analyse, understand, track and model various aspects of the pandemic. Our project aims at providing the means for such kind of analysis, focusing for the first time at capturing inconsistencies/complementarities between these studies through (1) a general view of how facts about the pandemic evolve across time and languages, and (2) a high quality evaluation of these facts in enriched knowledge graphs to support further analysis. The methodology and results of QualityOnt were designed to be generic enough to ensure their reusability in other future sanitary crises situations.

Objectives

  1. Generate high-quality KGs for emergent English, French and German trends with the example of COVID-19 and make the resulting graph publically available to the research community.
  2. Compare the facts extracted from different data sources (e.g., last year scientific publications, news articles and headlines, social media like twitter, existing KGs).
  3. Identify conflicting assertions as well as complementary ones.
  4. Investigate differences between English, French and German data sources.
  5. An extensive data analysis & visualization of research findings based on the time machine.
  6. Evaluate the quality of the KG throughout the process of KG enrichment and its querying.