  Institutions of higher learning, research institutes and other scientific
research units have abundant scientific and technological resources of experts
and scholars, and these talents with great scientific and technological
innovation ability are an important force to promote industrial upgrading. The
scientific and technological resources of experts and scholars are mainly
composed of basic attributes and scientific research achievements. The basic
attributes include information such as research interests, institutions, and
educational work experience. However, due to information asymmetry and other
reasons, the scientific and technological resources of experts and scholars
cannot be connected with the society in a timely manner, and social needs
cannot be accurately matched with experts and scholars. Therefore, it is very
necessary to build an expert and scholar information database and provide
relevant expert and scholar retrieval services. This paper sorts out the
related research work in this field from four aspects: text relation
extraction, text knowledge representation learning, text vector retrieval and
visualization system.
