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Data Analysis and Knowledge Discovery  2021, Vol. 5 Issue (5): 127-132    DOI: 10.11925/infotech.2096-3467.2020.0882
Current Issue | Archive | Adv Search |
Cross-database Knowledge Integration and Fingerprint of Institutional Repositories with Lingo3G Clustering Algorithm
Lu Linong1,2(),Zhu Zhongming1,Zhang Wangqiang1,Wang Xiaochun2
1Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
2CASWIZ Information Consulting Co., Ltd., Lanzhou 730000, China
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Abstract  

[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.

Key wordsInstitutional      Repository      Clustering      Algorithm      Knowledge      Integration      Knowledge      FingerprintCross-library      Retrieval      Lingo3G     
Received: 07 September 2020      Published: 27 May 2021
ZTFLH:  G354  
Corresponding Authors: Lu Linong     E-mail: luln@llas.ac.cn

Cite this article:

Lu Linong,Zhu Zhongming,Zhang Wangqiang,Wang Xiaochun. Cross-database Knowledge Integration and Fingerprint of Institutional Repositories with Lingo3G Clustering Algorithm. Data Analysis and Knowledge Discovery, 2021, 5(5): 127-132.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.2096-3467.2020.0882     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2021/V5/I5/127

Knowledge Integration and Knowledge Fingerprint Framework
Clustering Algorithm Code
Ling3G Clustering Algorithm Process
Knowledge Service Scenario Configuration
Knowledge Topic Tree Distribution
Knowledge Fingerprint Distribution
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