This workshop aims to engage related communities in open problems in the extraction and evaluation of knowledge entities from scientific documents and AI + Informetrics. Specifically, knowledge entities in scientific documents may include method entities, tasks, dataset and metrics, software and tools, etc. Knowledge entity application includes the construction of a knowledge entity graph and roadmap, modeling functions of knowledge entity citations, etc. There are some online platforms based on knowledge entities, e.g., SAGE Research Methods and ‘SOTA’ project. In parallel, this workshop also targets certain unsolved issues in AI + Informetrics and a wide range of its practical scenarios including: Cohering AI and informetrics to fulfill cross-disciplinary gaps from either theoretical or practical perspectives; elaborating AI-empowered informetric models with enhanced capabilities in robustness, adaptability, and effectiveness, and leveraging knowledge, concepts, and models in information management to strengthen the interpretability of AI + Informetrics to adapt to empirical needs in real-world cases. More information can be found here.