Abstract:

Linked data provide new technical means for library linked publication data management. However, the traditional technologies of linked publication data generation need intensive manpower and high time cost. This paper presents a mappingbased library linked publication data automatic generation schema. It describes and organizes publication resources using the Semantic Web heuristic architecture. The schema turns the large scale of heterogeneous disordered knowledge into domain knowledge system with linked knowledge, which accords with people’s cognitive rules. The schema transforms the knowledge without semantic structure to the ordered manageable knowledge and provide multi-level linked knowledge integration services.

Key words: Library, Linked publication data, Mapping