摘要
为了统一解决特定领域信息资源筛选和知识组织系统丰富的自动化问题,本文提出了知识组织系统自适应构建理论,明确了其技术组成,设计了构建过程迭代的工程化思路,并在医学影像小领域范围和简化流程情况下进行了实证研究。相关结果证明经过迭代后筛选的信息资源和构建知识组织系统的质量更高,知识组织系统自适应构建在理论和工程上是可行的。
In this paper, a theory about adaptive construction of knowledge organization systems was proposed to synchronously resolve both the problems of domain information resources filtering and knowledge organization system enrichment, and the necessary technologies were also listed. An iteration engineering process was designed and certified in the medical imaging domain with simplified processing methods. The results indicated that the quality of the knowledge organization system and the filtered information resources were increased with the iteration processes, which proved that both the theory and application of adaptive construction of knowledge organization systems were feasible.
出处
《情报工程》
2016年第6期60-68,共9页
Technology Intelligence Engineering
基金
国家科技支撑计划项目:面向科技情报分析的信息服务资源开发与支撑技术研究(2015BAH25F01)
中国工程科技知识中心建设项目:知识组织体系建设(CKCEST-2016-2-10)
国家留学基金(201605360003)资助
关键词
知识组织系统
自适应构建
迭代
聚类分析
契合度评估
Knowledge organization systems, adaptive construction, iteration, clustering analysis, kos-resourcesfit evaluation