[Objective] This study optimizes the Lingo3G algorithm with the help Solr scoring rules, aiming to realize the cross-database knowledge integration and knowledge fingerprint services of the institutional repository. [Methods] First, we analyzed user needs, and constructed a functional framework for knowledge integration analysis and visualization. Then, we selected key technologies and methods to build a platform, and explored the feasibility of knowledge integration. [Results] The proposed method calculated the characteristics of knowledge fingerprints in the institutional knowledge base. It organized and visualized knowledge fingerprints, as well as integrated cross-database knowledge through clustering. [Limitations] Due to the differences of database structure and cross-database retrieval methods ( i.e., no public resource API), we did not address all limits of cross-database retrieval. [Conclusions] The proposed method could help institutional knowledge repositories effectively integrate their knowledge resources and improve service capabilities.
( Wu Zhiqiang, Zhu Zhongming, Liu Wei, et al. Research and Practice on the Extension of Knowledge Analysis and Visualization Function in CSpace[J]. Data Analysis and Knowledge Discovery, 2019,3(3):112-119.)
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