Abstract
Abstract. Big data has huge commercial value and potential. Under the background of big data, a heritage site is faced with a number of questions and challenges such as, how to accelerate industrial innovation, benign competition and the creation of new business value. Based on the analysis of service data from the national archaeological site and park, Yuan Ming Yuan, this paper investigates the common problems of site management operations such as, inappropriate cultural interpretation, insufficient consumer demand and so on. In order to solve these operational problems, a new service system called the "one platform - three systems" was put forward. This system includes the smart heritage platform and three management systems: the smart heritage management system, the 3-O (Online-Offline-Onsite) service system and the digital explanation system. Combined with the 3-O marketing operation, the platform can realize bidirectional interaction between heritage site management units and tourists, which can also benefit visitors to the heritage site by explaining the culture and history of the heritage site, bring about more demand for cultural information and expand the social and economic benefits.
Highlights
The implication of big dataInformation and data that governments, enterprises, other social organizations and individuals are producing has exponentially exploded due to the development of the Internet, cloud computing and Internet technology
The museum of modern art in New York in 2007 had a network turnover that reached $5.343 million. This reflects the great importance that Americans attach to the construction of digital museum, and reflects on the profound significance that digital museums bring
The current domestic heritage site development in digital tourism cannot meet the demand of the market
Summary
Information and data that governments, enterprises, other social organizations and individuals are producing has exponentially exploded due to the development of the Internet, cloud computing and Internet technology. The IDC (Internet Data Center) predicts that by 2020 the world will have 35 ZB of data (1 ZB = 1 billion TB or 1 trillion G), which is 44 times more than 2009. This huge amount of data is referred to as "big data" and this much data is difficult for people to capture and manage in a reasonable time. Big data technologies have high information predictability and can accurately analyze the correlation between data through the analysis of data filtering
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