GOPubMed: research on information retrieval and analysis based on gene ontology and MeSH
- VernacularTitle:GOPubMed:基于GO和MeSH的信息检索与分析研究
- Author:
Shijing ZHANG
;
Jian DU
- Publication Type:Journal Article
- Keywords:
PubMed;
GOPubMed;
Search engine;
Gene ontology;
Semantic web;
Visualization
- From:
Journal of Medical Informatics
2009;30(7):6-11
- CountryChina
- Language:Chinese
-
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.
