[Objective] Based on the research results related to the subject cross-database retrieval service, optimize the Lingo3G algorithm combined with the solr scoring rules to realize the cross-database knowledge integration and knowledge fingerprint service of the institutional repository. [Method] Analyze the actual needs of users, build a functional framework for knowledge integration analysis and visualization, select key technologies and methods to build a platform, and explore the feasibility of knowledge integration. [Results] Research and calculate the characteristics of knowledge fingerprints in the institutional knowledge base, organize and present knowledge fingerprints in a visual form, and realize cross-database knowledge integration services with third-party databases through clustering. [Limitations] Because the database structure and design methods of cross-database retrieval are different and many databases do not have public resource retrieval API interfaces, the limitations of cross-database retrieval cannot be generally solved. [Conclusion] Based on the Lingo3G clustering algorithm, it can provide a set of functional systems for the institutional knowledge base based on cross-database retrieval to effectively improve the integration of knowledge resources and mine knowledge service capabilities.
卢利农, 祝忠明, 张旺强, 王小春. 基于Lingo3G聚类算法的机构知识库跨库知识整合与知识指纹服务实现
[J]. 数据分析与知识发现, 10.11925/infotech.2020.0882.
Lu linong, Zhu Zhongming, Zhang Wangqiang, Wang Xiaochun. Implementation of cross-database knowledge integration and knowledge fingerprint service of institutional repositories based on Lingo3G clustering algorithm
. Data Analysis and Knowledge Discovery, 0, (): 1-.