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目的介绍新型检索系统GoPubMed,比较常用的检索系统与GoPubMed在分类统计功能中的差别。方法剖析GoPubMed的各分类统计功能模块与特点,并将GoPubMed的分类统计功能与具有类似功能的常用检索系统相比较。结果GoPubMed的分类与统计功能较为细致与深入,并且是基于本体向未来语义检索发展的一种尝试。结论GoPubMed基于基因本体(Gene Ontology,GO)与医学主题词表(Medical Subject Headings,Mesh)、蛋白质仓库(Universal Protein Resource,UniProt)将PubMed的检索结果进行分类统计,反映文章全文中的主题概念,通过分类统计将文献中隐含的信息显性表达,为用户了解相关主题概况,快速、准确找到所需要的信息提供帮助。
Objective To introduce the new search system GoPubMed and compare the difference between the commonly used retrieval system and GoPubMed in the classification and statistics function. Methods To analyze GoPubMed’s statistical functional modules and features, and to compare GoPubMed’s classification and statistics functions with commonly used retrieval systems with similar functions. Results GoPubMed classification and statistical functions more detailed and in-depth, and is based on the ontology to the semantic retrieval of an attempt to the future. Conclusion GoPubMed classifies PubMed search results based on Gene Ontology (GO), Medical Subject Headings (Mesh), and Universal Protein Resource (UniProt), reflecting the theme, By categorizing the statistics, the information implicit in the literature is explicitly expressed, helping users to find out the relevant topics and quickly and accurately find the information they need.