Knowledge graph construction of multi-source heterogeneous academic resources based on big data technology
Meilin Luan, Qin Wei, Ning Jiang · 2022 International Conference on Computers, Information Processing and Advanced Education (CIPAE) · 2022
In the big data environment, academic communication resources suffer from multi-source heterogeneity and information overload, which makes it more difficult to integrate, manage, and share. Therefore, a knowledge graph architecture is proposed for academic communication resources based on the hierarchy of “Ontology-Resource-Description-Intelligence”. The key technologies for knowledge graph construction, including academic communication resources acquisition, knowledge fusion, and knowledge storage, are designed and implemented, in which it has more than 80,000 entities and 120,000 relationships. And on this basis, its future application and development are analyzed and discussed.