Retrieval of Scientific and Technological Resources for Experts and Scholars
School of Computer Science (National Pilot School of Software Engineering), Beijing University of Posts and Telecommunications（北京邮电大学计算机学院（国家软件工程试点学院））；Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia（北京智能电信软件与多媒体重点实验室）
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.
GRAPHYP: A Scientific Knowledge Graph with Manifold Subnetworks of Communities. Detection of Scholarly Disputes in Adversarial Information Routes
Université Paris 8（巴黎第八大学）；German Centre for Higher Education Research and Science Studies (DZHW)（德国高等教育研究与科学研究中心（DZHW））；Aix Marseille Univ（艾克斯-马赛大学）；Université de Toulon（土伦大学）；CNRS（法国国家科学研究中心）；Univ. Lille（里尔大学）；Université Paris Sciences & Lettres（巴黎文理研究大学）
Accurate Portraits of Scientific Resources and Knowledge Service Components
Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia（智能电信软件与多媒体北京重点实验室）；School of Computer Science (National Pilot School of Software Engineering)（计算机学院）；Beijing University of Posts and Telecommunications（北京邮电大学）
Knowledge Graph and Accurate Portrait Construction of Scientific and Technological Academic Conferences
Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, School of Computer Science (National Pilot School of Software Engineering), Beijing University of Posts and Telecommunications（北京智能电信软件与多媒体重点实验室，计算机学院（国家软件工程试点学院），北京邮电大学）
Generating Knowledge Graphs by Employing Natural Language Processing and Machine Learning Techniques within the Scholarly Domain
University of Cagliari（卡利亚里大学）；FIZ Karlsruhe - Leibniz Institute for Information Infrastructure（FIZ卡尔斯鲁厄——莱布尼茨信息基础设施研究所）；Karlsruhe Institute of Technology（卡尔斯鲁厄理工学院）；The Open University（开放大学）；CNRS（法国国家科学研究中心）；University Paris 13（巴黎第十三大学）
MIARec: Mutual-influence-aware Heterogeneous Network Embedding for Scientific Paper Recommendation
College of Computer and Information Science, Southwest university（西南大学计算机与信息科学学院）；College of Computer and Information Science, Chongqing normal university（重庆师范大学计算机与信息科学学院）
Multimodal intelligibility of scholarly hypertext: the documentalist's contribution. A required collaboration for serial documentisation in the scientific editorial process
Comparison of Feature Learning Methods for Metadata Extraction from PDF Scholarly Documents
Fraunhofer Institute for Applied Information Technology FIT（弗劳恩霍夫应用信息技术研究所FIT）；University Hospital of Cologne（科隆大学医院）；University of Koblenz（科布伦茨大学）；Soochow University（苏州大学）
