We work on extracting computer-readable information from Web sources. Our flagship project in this domain is YAGO, a large knowledge base constructed from Wikidata, schema.org, and other Web sources. We have also developed several approaches to query knowledge bases efficiently. One approach is based on Bash commands.
Our main project in this area is the NoRDF project, which extracts complex information from natural language text: causal relationships, beliefs, negative statements, and conditional statements.
We also work on extracting commercial products from the Web.
We work on algorithms that can find automatically where a knowledge base is missing information. Our flagship project here is the AMIE rule mining system, but we also work on determining the completeness of entities, or the necessity of attributes. Here is an overview on our work of mining completeness in knowledge bases.
I no longer review for scientific journals that do not publish their articles in open access. I think that it is absurd that journals do not remunerate the authors, and do not remunerate the reviewers, but take money if someone wants to access the articles. It's like selling scientists their own work. It hinders scientific progress, especially in poorer places. Small fees that cover the processing are OK.