| Title |
Digital Management Strategy of Natural Resource Archives Under Smart City Space-Time Big Data Platform |
| ID_Doc |
37079 |
| Authors |
Wang, YF; Lv, P |
| Title |
Digital Management Strategy of Natural Resource Archives Under Smart City Space-Time Big Data Platform |
| Year |
2023 |
| Published |
International Journal Of Data Warehousing And Mining, 19.0, 4 |
| DOI |
10.4018/ijdwm.320649 |
| Abstract |
The data under the smart city spatio-temporal big data platform is very diverse, and there are many modern spatial and spatial databases in the archives management system related to natural resources. Big data can effectively improve the quality and classification of natural resource archives management (referred to as NRAM for convenience of description). However, the traditional NRAM method and informatization level can no longer meet the needs of the current NRAM, so people must continue to make efforts to digitize the natural resource archives. To this end, this paper analyzed the characteristics and problems of NRAM and then used the big data platform to make corresponding management adjustments to promote the development of NRAM. Under big data, the degree of management improvement and management efficiency were better than the original NRAM, and the degree of management improvement was 14% higher than the original NRAM. In short, both big data and artificial intelligence can improve the integrated management of natural resource archives. |
| Author Keywords |
Artificial Intelligence; Big Data Platform; Natural Resource Archives Management; Smart City |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:001055988600006 |
| WoS Category |
Computer Science, Software Engineering |
| Research Area |
Computer Science |
| PDF |
https://www.igi-global.com/ViewTitle.aspx?TitleId=320649&isxn=9781668496220
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