Research on Institutional Repository Entity Academic Relationship Discovery Method Based on Linked Data

Abstract: Purpose/significance By using the uniqueness and linkability of linked data, the paper tries to discover and correlate academic relationship of institutional repository entities，in order to realize institutional repository resources semantic aggregating. Method/process It analyzes the types and characteristics of the entity academic relationship and linked data requirements, then puts forward academic relationship association methods. Finally it uses the data of Hohai University Institutional Repository to conduct an empirical study. Results/Conclusion The paper builds the method of discovering entity academic relationships based on linked data. It finds out the academic relationships of empirical data and points out its application value. This method can realize semantic associating of institutional repository resources, and provide knowledge retrieval service based on linked data, which can meet user's knowledge needs.