Title
A Study on Building of Self-Adaptive Knowledge Organization System Oriented to Screening and Optimization of Domain-Specific Information Resources
Abstract
As a knowledge tool, the knowledge organization system (KOS) plays an important role in knowledge service in the fields of information resource organization, science & technology information analysis, press and publication, engineering technology, etc. To address the automation problem in the screening and optimization of domain-specific information resources and the enrichment of KOS, this paper proposes the self-adaptive building theory for KOS, defines its technical components, and designs the iterative engineering thinking in the building process, with empirical research carried out under the condition of simplified process in the field of medical imaging. The relevant results demonstrate that the information resources screened after iteration and KOS built have better quality, and it is feasible to build the self-adpative KOS in theory and engineering.
Year
DOI
Venue
2017
10.1109/SKG.2017.00031
2017 13th International Conference on Semantics, Knowledge and Grids (SKG)
Keywords
Field
DocType
Screening and optimization of information resources,KOS,self-adaptive
Software engineering,Computer science,Automation,Self adaptive,Specific-information,Empirical research,Semantics,Distributed computing,Knowledge organization system
Conference
ISSN
ISBN
Citations 
2325-0623
978-1-5386-2559-0
0
PageRank 
References 
Authors
0.34
2
4
Name
Order
Citations
PageRank
Hui Li120234.25
Rong Li23117.93
Xiaohong Jin301.01
Jinjie Jiang400.34