|Weekly News Digest
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'Knowledge Graphs as Belief System Encapsulations' by Babis Marmanis
Babis Marmanis, CTO and VP of Copyright Clearance Center (CCC), writes the following about CCC’s knowledge graph:
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.
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