摘要
文章提出新一代图书馆知识库构建方法,在FRBR、FRAD、RDA、Bib Frame、Schema.org五个现有规范和词表的基础上建立数据模型,利用抽取器从书目数据、规范数据、词表数据、LOD数据、Web标注中抽取知识三元组,经过知识融合后生成RDF格式的图书馆知识库。用户能直接从这种知识库中得到想要查找的知识点或问题的具体答案。
This article puts forward a method of library knowledge base 2.0 construction.It establishes a data model based on FRBR,FRAD,RDA,Bib Frame and Schema.org to extract knowledge triples from bibliographic data,standard data,thesaurus data,LOD data,Web annotations,and fuses these triples to generate a library knowledge base following RDF format.Users can get specific answers to a question from the knowledge base directly.
出处
《图书馆理论与实践》
CSSCI
北大核心
2017年第11期38-42,共5页
Library Theory and Practice
关键词
图书馆知识库
知识抽取
知识融合
知识三元组
Library Knowledge Base
Knowledge Extraction
Knowledge Fusion
Knowledge Triple