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| Cultural Heritage Smart Data Generation and Its Scenario-based Service Patterns Empowered by Collective Intelligence |
| Yang Simin1,2, Wang Hao1,2 |
1.School of Information Management, Nanjing University, Nanjing 210023
2.Jiangsu Key Laboratory of Data Engineering and Knowledge Service, Nanjing 210023 |
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Abstract Driven by the emergence of human-AI intelligence, collective intelligence provides a new human-machine collaboration paradigm for the digital and intelligent transformation of cultural heritage. This study aims to achieve dynamic coupling between the generation of cultural heritage smart data and scenario-based services using collective intelligence empowerment, thereby promoting the synergistic upgrading of data and services. First, through a literature analysis, this study synthesizes the use of swarm intelligence in smart data generation and scenario-based services in the cultural heritage field. Second, it investigates the “data-learning-intelligence” generation path of smart data under the empowerment of swarm intelligence and analyzes the constituent elements of such data. Third, using the dimensions of demand, service, and technology, it elaborates on the logic of the scenario-based service model for cultural heritage smart data. Finally, using the preventive protection scenarios of traditional crafts under intangible cultural heritage as a case study, this study demonstrates the effectiveness of swarm intelligence in early warning of craft endangerment, market quality risk assessment, and intelligent decision-making services. This study aims to demonstrate the efficacy of swarm intelligence in “externalizing tacit knowledge, breaking through AI black boxes, and enhancing cross-subject collaboration,” to provide theoretical references for the intelligent development of cultural heritage in the digital-intelligent age.
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Received: 10 June 2025
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