Under the background of the development of artificial intelligence, global cultural and creative products have gradually grown. China's cultural and creative industry has gradually developed into a new industry, and it has also provided a new development direction for intangible cultural and creative products. Traditional art is an important category of intangible cultural heritage. It is the embodiment of the spiritual value of the Chinese nation in a certain period and the reaction of life customs. Its inheritance and development are of great significance. This article aims to study the design information integration platform of intangible cultural and creative art products based on artificial intelligence. Based on the analysis of the attributes and functions of cultural and creative art products, we propose an artificial intelligence-based intangible cultural and creative art products. Design the information integration platform framework, discuss the system function goal, system performance goal and platform function design of this framework. Finally, the platform test shows that the process of the module meets the test requirements of this article, and the system is automatically updated regularly in cycles, and the updated data can be stored in the historical database for query.

Yongli Dai and Xiaochen Wang. Design Information Integration Platform of Intangible Cultural and Creative Art Products Based on Artificial Intelligence. International Journal of Art Innovation and Development (2021), Vol. 2, Issue 1: 9-16. https://doi.org/10.38007/IJAID.2021.020102.

[1] Jeavons, Andrew. What Is Artificial Intelligence?. Research World, 2017, 2017(65):75-75. https://doi.org/10.1002/rwm3.20554

[2] Hassabis D , Kumaran D , Summerfield C , et al. Neuroscience-Inspired Artificial Intelligence. Neuron, 2017, 95(2):245-258. https://doi.org/10.1016/j.neuron.2017.06.011

[3] Lu H , Li Y , Min C , et al. Brain Intelligence: Go Beyond Artificial Intelligence. Mobile Networks and Applications, 2017, 23(7553):368-375. https://doi.org/10.1007/s11036-017- 0932-8

[4] Raedt L D , Kersting K , Natarajan S , et al. Statistical Relational Artificial Intelligence: Logic, Probability, and Computation. Synthesis Lectures on Artificial Intelligence and Machine Learning, 2016, 10(2):1-189. https://doi.org/10.2200/S00692ED1V01Y201601AIM032

[5] Luis G , Glen M , Eduard P , et al. Unmanned Aerial Vehicles (UAVs) and Artificial Intelligence Revolutionizing Wildlife Monitoring and Conservation. Sensors, 2016, 16(1):97. https://doi.org/10.3390/s16010097

[6] Jha S , Topol E J . Adapting to Artificial Intelligence: Radiologists and Pathologists as Information Specialists. Jama, 2016, 316(22):2353-2354. https://doi.org/10.1001/jama.2016. 17438

[7] Makridakis S . The Forthcoming Artificial Intelligence (AI) Revolution: Its Impact on Society and Firms. Futures, 2017, 90(jun.):46-60. https://doi.org/10.1016/j.futures.2017.03.006

[8] Rongpeng, Li, Zhifeng, et al. Intelligent 5G: When Cellular Networks Meet Artificial Intelligence. IEEE Wireless Communications, 2017, 24(5):175-183. https://doi.org/10.1109/ MWC.2017.1600304WC

[9] Deacon H , Smeets R . Authenticity, Value and Community Involvement in Heritage Management under the World Heritage and Intangible Heritage Conventions. Heritage & Society, 2016, 6(2):129-143. https://doi.org/10.1179/2159032X13Z.0000000009

[10] Lombardo V , Pizzo A , Damiano R . Safeguarding and Accessing Drama as Intangible Cultural Heritage. Journal on Computing & Cultural Heritage, 2016, 9(1):5:1-5:26. https://doi.org/10.1145/2812814

[11] Lopez-Guzman T , F Gonzalez Santa-Cruz. International tourism and the UNESCO category of intangible cultural heritage. International Journal of Culture Tourism & Hospitality Research, 2016, 10(3):310-322. https://doi.org/10.1108/IJCTHR-03-2015-0025

[12] Ubertazzi B . EU Geographical Indications and Intangible Cultural Heritage. IIC - International Review of Intellectual Property and Competition Law, 2017, 48(5):562-587. https://doi.org/10.1007/s40319-017-0603-0