|
|
Implementation of cross-database knowledge integration and knowledge fingerprint service of institutional repositories based on Lingo3G clustering algorithm
|
Lu linong,Zhu Zhongming,Zhang Wangqiang,Wang Xiaochun
|
(Northwest Institute of Eco-Environment and Resources Information Center, Chinese Academy of Sciences, Lanzhou 730000, China)
(Northwest Institute of Eco-Environment and Resources,CAS, Lanzhou 730000, China)
(Lanzhou zhongkeweizhi Information Consulting Co., Ltd, Lanzhou 730000, China)
|
|
|
Abstract
[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.
|
Published: 15 December 2020
|
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
|
Shared |
|
|
|
|
|
Discussed |
|
|
|
|