Abstract:

[Purpose/Significance] Against the backdrop where artificial intelligence generated content (AIGC) is reshaping the paradigm of knowledge production, exploring how to integrate the context-aware capabilities of large models into the knowledge service framework, and on this basis, providing a new interpretation and service expansion of the Five Laws of Library Science, is of great significance for the construction of the AI + knowledge service system. [Method/Process] Starting from the perspective of contextual integration, and with Wilson's Information Behavior Theory and the SECI Model as the theoretical foundation, this study constructs a three-dimensional integrated coupling framework of "demand-knowledge-context". By aligning knowledge context with user context, it dynamically perceives users' knowledge needs and provides proactive responsive services. Based on this framework, it further conducts a contextualized interpretation of the Five Laws of Library Science. [Results/Conclusions] With the integration of all contextual elements as the link, the "demand-knowledge-context" three-dimensional framework forms an effective mechanism for matching user needs with knowledge resources. It also achieves continuous reinforcement learning through information feedback to acquire the ability of self-evolution, aiming to continuously adapt to and better meet users' knowledge needs in complex and changing contexts. Based on this framework, the study conducts contextualized interpretation and theoretical expansion of the Five Laws, endowing library services with new connotations of vitality and intelligence. Furthermore, it proposes a context-driven ecological evolution path for knowledge services: the internal context focuses on the recombination of organizational genes, while the external context emphasizes the dissolution of ecological boundaries, exploring how classic library theories can achieve innovative development with the support of new technologies. As AIGC technology continues to develop, further in-depth research into contextual elements should be conducted, particularly into implicit contextual elements such as users' emotions and psychology. Efforts should be devoted to strengthening interdisciplinary collaboration, incorporate theories and methods from disciplines such as psychology and sociology into library science research, and continuously optimize the knowledge service system of smart libraries. This will make the system more adaptable to complex and changing contexts, provide users with higher-quality, more efficient, and personalized knowledge services, and help library science achieve significant development in the AIGC era. This paper proposes a three-dimensional "demand-knowledge-context" framework that aims to accurately match user needs with knowledge resources by integrating knowledge and user context in depth. Based on this, the "context-driven ecological evolution approach for knowledge services" is put forward as an exploratory implementation approach. However, subsequent research is required to implement, verify and conduct an in-depth empirical analysis of this approach.

Key words: artificial intelligence generated content (AIGC), Five Laws of Library Science, contextual integration, service expansion, knowledge ecosystem