GOPubMed: research on information retrieval and analysis based on gene ontology and MeSH / 医学信息学杂志

ABSTRACT

GoPubMed is an intelligent search engine based on PubMed aiming at realizing visualization and post - processing the re-salts. 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 an-gles.