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'Knowledge Graphs as Belief System Encapsulations' by Babis Marmanis

As everyone rushed to combat COVID, we at CCC also wanted to contribute what we could. By leveraging our data and technology, we developed a knowledge graph to help publishers address the problem of identifying suitable candidates for peer reviews in the COVID space.  …

Our graph relies on a dataset that consists of published scientific articles in virology with special attention to coronaviruses including SARS, MERS, and SAR-CoV-2. We used bibliographic citation metadata for articles listed by LitCovid, CORD-19, and other sources. All in all, we processed over 120,000 articles.

Our thinking was fairly straightforward, if we can show the various authors, their associated literature, their collaborators (co-authors), and some general characterization of the field of their study, then a match between an arriving manuscript and an appropriate reviewer could be readily made. However, even with such a limited set of data there are plenty of questions to answer and a significant degree of uncertainty to deal with. …

Our view at CCC is that building a knowledge graph system, essentially, means building a belief system for your business.

A system that can understand the intent of your users in various circumstances, and provide the power of knowledge to employees, and end-users alike, at the right place, and at the right time. …

For more information, read the blog post.