scholarly journals Local Cultural IP Development and Cultural Creative Design Based on Big Data and Internet of Things

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Wei Bi ◽  
Guangming Wang

Relying on the development of cultural tourism resources and the development of cultural tourism industry to achieve regional industrial revitalization is an important way of implementing postdisaster reconstruction in areas suffering from major natural disasters. To this end, this article proposes a local cultural IP development and cultural creative design method based on big data and the Internet of Things to explore new ideas for postdisaster reconstruction in such areas. First, we collect traditional and modern cultural element data and carry out data cleaning and processing through the Internet of Things. Second, we use data mining to perform multilayer collaborative processing on regional cultural data based on ontology modeling and tensor decomposition. Based on our approach, local cultural categories can be effectively screened and filtered out. Finally, we establish a cultural IP development model based on the Internet of Things and verify the validity and applicability of the model through system testing and simulation analysis.

2020 ◽  
Vol 5 (1) ◽  
pp. 1-13
Author(s):  
Putri Previa Yanti

The development of information technology has increased the travel and tourism industry. The travel and tourism data are available in many sources such as telephone, social media, sensor system on the internet of things, and others. The application of big data has great potential in the development of the travel and tourism industry. Big data can take advantage of new things in making the right decisions and seeing opportunities in doing better business. This paper provides a survey that discusses big data in the travel and tourism industry. Big data is used to ticket price and demand prediction. In addition, big data is also used to build a tourism plans and recommender system with the personalized and adaptive method. Combination of using the internet of things and big data can help the industry to price their product. The result of this study is some of the implementation of big data in the travel and tourism industry. We conclude that big data can be used to explore new things in making the right decisions, seeing opportunities more observant, and doing business more efficiently


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