Research on Data Integration in Libraries in the Context of Artificial Intelligence
In the digital age,libraries need to integrate massive data resources,which have not only diverse forms and types,but also have different sources and differences in structures or formats.By analyzing the challenges faced by libraries in the integration of multi-modal and heterogeneous data,such as data heterogeneity and complexity,data quality and standardization,and technology integration and compatibility,and combined with current various artificial intelligence technologies such as the deep learning model,the graph neural network and natural language processing,this paper discusses copeing approaches to each problem,aiming to provide libraries with an efficient strategy for the integration of multi-modal and heterogeneous data.
Artificial intelligenceData integrationLibraryMultimodal dataHeterogeneous data
NETL
NSTL
万方数据
