Auxiliary social governance system based on knowledge graph: application in carbon reduction

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Abstract
As Chinese socialism evolves into a new era, the government’s concept of social governance has undergone profound and significant changes. Since the planned economy’s inception, relying entirely on the government to implement a top-down, all-inclusive administrative management model has gradually proven incapable of adapting fully to the time requirements for development. Notably, the fourth plenary session of the party’s 19th Central Committee adopted a major strategic decision to advance the country’s governance system and capabilities for modernization, informatization and intelligence. This manuscript aims to integrate social events based on encyclopedias, national standards, social events extracted from social networks and social events discovered by the general public in order to realize modern social governance. By establishing a massive knowledge network, it is possible to analyze and manage the hierarchical classification of events, things and organizations, as well as make flexible decisions about social events through a combination of automation, semi-automation and manual processes, ensuring that events are quickly and accurately pushed to appropriate staff for survey, processing and real-time feedback. This study is expected to be more effective in assisting social governance and facilitating the simultaneous transfer of urban management information among all participants. Simultaneously, the system will be used for carbon emission reduction management, enabling intelligent carbon emission reduction management, enhancing carbon emission reduction management efficiency and injecting new impetus into the world’s new path of green development in the post-epidemic era, thereby affecting international carbon emission reduction action, global industrial development patterns and even geopolitical economic ecology.

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