  Cybersecurity is a very challenging topic of research nowadays, as
digitalization increases the interaction of people, software and services on
the Internet by means of technology devices and networks connected to it. The
field is broad and has a lot of unexplored ground under numerous disciplines
such as management, psychology, and data science. Its large disciplinary
spectrum and many significant research topics generate a considerable amount of
information, making it hard for us to find what we are looking for when
researching a particular subject. This work proposes a new search engine for
scientific publications which combines both information retrieval and reading
comprehension algorithms to extract answers from a collection of
domain-specific documents. The proposed solution although being applied to the
context of cybersecurity exhibited great generalization capabilities and can be
easily adapted to perform under other distinct knowledge domains.
