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.

翻译：网络安全是当今一个非常具有挑战性的研究课题,因为数字化通过技术装置和网络,增加了互联网上人员、软件和服务的互动,这个领域范围广泛,在管理、心理学和数据科学等许多学科下有许多尚未探索的领域,其广泛的学科范围和许多重要的研究课题产生大量信息,使我们很难在研究某一特定课题时找到我们所期待的东西。这项工作提议为科学出版物建立一个新的搜索引擎,将信息检索和阅读理解算法结合起来,从特定领域文件的汇编中提取答案。提议的解决方案虽然适用于网络安全方面,但具有极大的普及能力,并且可以很容易地适应在其他不同知识领域的工作。