摘要
为了探索领域知识发现实现的途径与方式并促进领域知识服务，开发功能强大的领域知识发现流程是扩展图书情报机构传统收集功能和推进图书情报工作演化的当务之急。通过对现有相关研究的述评，基于自然语言处理方法、异质领域本体映射建模、主题模型、关联数据、机器学习等方法技术，结合领域数字资源的实际状况，提出了一种面向知识服务的领域知识发现流程，分析了流程的特色，并通过Semantic MEDLINE进行了实例分析，结果证实了该领域知识发现流程的作用。
In order to explore the routes and means of knowledge discovery and promote domain knowledge service,it is in urgent need to extend the col ection feature of the traditional library through integration of knowledge discovery,and promote the evolution of the work in libraries and information institutes. A knowledge service-oriented domain knowledge discovery workflow is proposed on the basis of reviewing relevant research,and techniques including natural language processing,mapping modeling between heterogeneous domain ontologies,topic model,linked data and machine learning, combined with the actual situation of domain digital resources. In addition,the characteristics of the workflow are analyzed and a case study using Semantic MEDLINE was conducted,that proved the function of this knowledge service-oriented domain knowlZdgZdiscovZry.
出处
《情报学报》
CSSCI
北大核心
2015年第1期45-52,共8页
Journal of the China Society for Scientific and Technical Information
基金
国家自然科学基金项目(项目编号:71273111)的研究成果之一
