摘要
GOPubMed是一种基于PubMed的结果可视化和后处理类型的智能搜索引擎。从工作原理、关键技术以及扩展功能3个方面对其性能进行解析。研究显示,GOPubMed利用基于语义网的语义分类工具——GO(Gene Ontology,基因本体)和MeSH,对PubMed检索结果进行分类,帮助用户快速地找出最相关的命中文献,实现语义网与生物医学信息检索的完美结合,并能对检索结果从多角度进行可视化统计分析。
GoPubMed is an intelligent search engine based on PubMed aiming at realizing visualization and post -processing the results. The paper analyzes its performance from three aspects, including working principle, key technique and extended functions. As the result of the research, it reveals that GoPubMed classifies the retrieval results from PubMed by semantic classification tools based on se mantic web, namely GO and MESH, therefore, it helps users find high related literature very quickly. The combination between semantic web and biomedical information retrieval is realized perfectly, and visualization statistical analysis is gradually unveiled from multiple angles.
出处
《医学信息学杂志》
CAS
2009年第7期6-11,共6页
Journal of Medical Informatics
