Exploration and Practice of Data Entity Alignment Method for University Teachers'Thesis Results
Entity alignment is the key technology of knowledge graph,which realizes the effec-tive integration and utilization of heterogeneous data by discovering equivalent entities in differ-ent data sources.In university thesis statistics,due to the complexity and diversity of teachers'thesis titles,it is difficult to count accurately by relying on teachers'self-declaration.The core of thesis statistics lies in the correct entity alignment of individual teachers.The current entity alignment technology is developing rapidly,but there are problems such as high cost of model implementation,lack of application in business scenarios,and weak ability of error correction.In order to solve the entity alignment problem in university thesis statistics,a new entity align-ment model is constructed.The model takes into account the academic social relationship within the university,realizes the effective alignment of teachers'thesis title information,and establi-shes the data error correction reflow mechanism to improve the accuracy of thesis statistics.This model has good applicability and can be realized based on the existing data resources in univer-sities,which is of great significance to improve thesis statistics and evaluation in universities.
publication achievementsentity alignmentacademic social relationsdata feedback
NETL
NSTL
万方数据
维普
