[Purpose/Significance] To evaluate Research on Multi-Dimensional Aggregation of Internet Resource and Knowledge Discovery. This book is rooted in the context of massive, heterogeneous, and dynamically changing network resources, focusing on achieving efficient knowledge organization, accurate knowledge discovery, and intelligent information services. The proposed knowledge discovery method based on multi-dimensional aggregation not only provides substantial support for enhancing the effectiveness of information resource organization and the level of knowledge services, but also carries profound guiding significance and reference value for the theoretical deepening and practical innovation in information resource management, knowledge services, and related fields. [Method/Process] This research investigates resource association characteristics across three dimensions—content, structure, and usage behavior—to construct a semantic aggregation-based framework for knowledge discovery. The effectiveness of the proposed method is validated through its application in the domains of scientific and technological achievements and intangible cultural heritage. [Result/Conclusion] Integrating artificial intelligence technologies such as the semantic web and big data, this book analyzes resource networks, explores potential knowledge associations and value patterns, and puts forward a theoretical system and practical methods for multi-dimensional aggregation. It significantly improves information retrieval efficiency and knowledge discovery accuracy, thus bearing considerable academic and practical value.