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.

中文翻译：

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科学出版物的搜索引擎：网络安全案例研究

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设备和与之相连的网络增加了互联网上人、软件和服务的互动。这个领域很广泛，在管理、心理学和数据科学等众多学科下都有很多未开发的领域。其庞大的学科范围和许多重要的研究主题产生了大量的信息，使我们在研究特定主题时很难找到我们正在寻找的东西。这项工作提出了一种新的科学出版物搜索引擎，它结合了信息检索和阅读理解算法，从特定领域的文档集合中提取答案。