Library Resource Construction and Interconnection Model Based on Linked Data

Abstract

Heterogeneous and self-distributed massive data has always been the core issue of knowledge openness and knowledge sharing. Because the library has a wide range of data sources, various types of resources, and many operating platforms, a large amount of heterogeneous data is stored in it, which greatly affects the sharing of resources in the library. Linked Data, as one of the implementation methods of Semantic Web technology, can promote the interconnection and interoperability of data in different fields and promote the opening and sharing of knowledge. Therefore, this paper proposes the construction of library resources based on Linked Data, aiming to study how to optimize the association rules of Linked Data in the context of the Semantic Web and promote the continuous realization of open sharing of information resources. Experiments show that, under the action of the optimized association rules, the support degree between data can reach 79%, and the data association degree can be increased to 84%.